Below is a list of past trainings and events. You might want to take a look at upcoming trainings and events, too. If you have a training request that is not being offered at this time, please complete this short training request form to let us know.
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2024 · Omics Working Group · Omics Webinar
Exploiting microbiota-derived bioactive compounds to enhance animal health and production
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2024 · Practicum AI - Computer Vision Workshop
Practicum AI’s Computer Vision Course builds on a basic understanding of Python and deep neural networks to demystify the technology that allows machines to interpret and make decisions based on visual data.
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2024 · Carpentries · The Carpentries Unix, Git and R Workshop
In this interactive, hands-on workshop, you will learn basic programming tools and concepts for the Unix Shell, Git and version control and R.
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2024 · SCINet Corner · Plotting in Python with plotnine
- How to access plotnine in Open OnDemand JupyterLab
- Data formats expected by plotnine
- Graphing concepts in creating basic plots
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2024 · SCINet · Software Package/Environment Management Workshop
In this workshop presented by the SCINet Office, we will cover best practices for managing software packages and computing environments on SCINet’s supercomputers. This will be a hands-on workshop that will provide you with the practical knowledge and skills you need to spend less time worrying about package management and more time focusing on your research!
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2024 · SCINet Corner · Open Q&A
The SCINet Corner is a recurring virtual gathering to provide a space for people to meet and discuss SCINet-related items.
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2024 · Omics Working Group · Omics Webinar
Untangling False Positives, Statistical Power, Populations Structure, and Kinship in GWAS
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2024 · ISU · Genome Assembly Workshop
In this interactive, hands-on workshop, you will learn how to use SCINet’s computing resources to convert raw DNA sequencing data into a complete genome assembly. Along the way, you will also learn best practices for ensuring that your genome assemblies are robust and useful for downstream analyses.
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2024 · SCINet Corner · Introduction to Slurm: How to run computing jobs on SCINet clusters
- The common parameters you can specify, e.g., number of cores and wall time limit.
- How to request an interactive job
- How to write and submit batch scripts
- How to check the job queue
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2024 · Omics Working Group · Omics Webinar
Livestock, Companion Animals, and Wildlife; Working Across Industries in Genomics Research
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2024 · SCINet Corner · Open OnDemand: Web-based access to SCINet
How to access SCINet computing resources and applications through your browser. This presentation will cover how to log on to Open OnDemand for Ceres and Atlas, followed by an overview of popular applications available on Open OnDemand.
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2024 · Omics Working Group · Omics Webinar
Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes
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2024 · SCINet Corner · Galaxy: a web-based platform for data-intensive bioinformatics analyses
This presentation will cover what Galaxy is, logging in, uploading data, and examples of data analysis on Galaxy
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2024 · SCINet Corner · Data Transfer
Data transfer to, from, and among SCINet systems (Ceres, Atlas, and Juno) using Globus or scp.
25 mins of instruction followed by open discussion and Q&A
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2024 · Omics Working Group · Omics Webinar
Advancing omics measurement science to support agricultural research
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2024 · SCINet Corner · Command line tricks in Ceres
We will continue talking about tips and tricks related to Ceres command line techniques.
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2024 · Omics Working Group · Omics Webinar
Statistical and computational methods for spatial transcriptomics data analysis
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2024 · SCINet Corner · Command Line Tips Continued
We will continue talking about tips and tricks related to Ceres command line techniques.
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2024 · Practicum AI - Deep Learning Foundations
Deep learning is the focus of modern AI. Models have many layers and millions, or now approaching a trillion, parameters! This course breaks things down and introduces you to a small AI model to provide a conceptual understanding of how AI models are built, trained, and deployed.
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2023 · SCINet Corner · Tips and Tricks on the Command Line Continued
We will be continuing with more tips and tricks on the command line.
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2023 · Omics Working Group · Omics Webinar
Evolutionary dynamics of transposable elements in plant genomes
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2023 · Practicum AI - Python for AI
Most hands-on artificial intelligence work is currently done using the Python programming language. As such, some understanding of Python and computer programming is needed to be successful in applying AI. That said, it is truly astounding how much complex AI research can be accomplished with a few lines of code! The content in this workshop is aimed at beginning coders who may have never programmed before. As with the rest of the Practicum AI workshops, we use Jupyter Notebooks for the learning experience.
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2023 · SCINet Corner · More tips and tricks on the command line
We will be continuing with more tips and tricks on the command line.
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2023 · Omics Working Group · Omics Webinar
Using multiomics to explore the impact of drought on the root microbiome
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2023 · SCINet · Unoccupied Aerial System (UAS) workshop
The focus of this workshop is to process Unoccupied Aerial System (UAS) image data using the open-source software Open Drone Map (ODM) on Atlas. The sessions will go through the entire process of image processing, from collecting UAS imagery and corresponding Ground Control Points (GCPs), to creating the GCP file needed for processing, to moving UAS images to Atlas and submitting a SLURM script using ODM in a container.
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2023 · Practicum AI - Computing for AI
In this course, you will learn about some of the tools recommended for building, testing, tweaking, and deploying AI models. You will learn about Jupyter Notebooks, Git, GitHub, and high-performance computing (HPC) environments.
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2023 · Practicum AI - Getting Started with AI
This course provides a high-level overview of the concepts, history, and vocabulary of AI. You will get hands-on experience with simple online AI tools, experimenting with gathering data, and training a model.
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2023 · Carpentries · Genomics Carpentry
This workshop will be held October 23-25, from 12:30-5 pm EDT.
The focus of the workshop is on working with genomics data, and data management and analysis for genomics research, including best practices for organization of bioinformatics projects and data, use of command line utilities, use of command line tools to analyze sequence quality and perform variant calling, and connecting to and using cloud computing.
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2023 · SCINet Corner · Command Line Tips and Tricks
In continuation of the theme to re-introduce users to SCINet, we will be covering some tips and tricks on the command line that help you do certain routine jobs faster.
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2023 · Geospatial Working Group · 2023 Geospatial Workshop
The SCINet Geospatial Research Working Group’s Annual Workshop is set to take place September 25-28, 2023. This year’s theme is Machine Learning and Deep Learning with Geospatial Data and will feature lightning talks, interactive tutorials, and community discussions around research topics.
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2023 · SCINet Corner · Reintroduction to SCINet
We are starting off this fall with a re-introduction to SCINet
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2023 · AI-COE · SCINet/AI-COE Internship Research Symposium
The AI Center of Excellence (AI-COE)/SCINet Graduate Student Internships Program is coming to a close and we are holding an internships research symposium.
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2023 · SCINet Corner · Python in Jupyter
Alex presented on how to use Jupyter as a Python coding environment
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2023 · SCINet Corner · Getting started with Python programming
Alex presented on the fundamentals of getting started with Python programming.
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2023 · Carpentries · Software Carpentry with R (Including Git)
Course will be conducted over 4 days in 4-hour sessions.
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2023 · Carpentries · Software Carpentry with Python (Including Git)
Course will be conducted over 4 days in 4-hour sessions.
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2023 · Carpentries · Software Carpentry with R (Including Git)
Course will be conducted over 4 days in 4-hour sessions.
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2023 · AI-COE · AI Training Images Workshop
Are you interested in AI-based image analysis methods for scientific research? If so, please join us for an AI training images workshop at the end of February!
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2023 · Carpentries · Software Carpentry with Python
Course will be conducted over 4 days in 4-hour sessions.
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2022 · MSU · Introduction to Atlas
An introduction to Atlas
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2022 · SCINet Corner · Continues Exploration of R and Intro to dplyr
Viswanathan Satheesh continues exploration of R after the previous SCINet Corner (November 3, 2022) and provides an introduction to dplyr.
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2022 · Carpentries · Geospatial Workshop
The SCINet Office is collaborating with The Carpentries to provide a Geospatial Workshop. This workshop will provide instruction for working with geospsatial data using R.
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2022 · MSU · Digital Tools to Move from Precision to Decision Agrictulture
Digital technologies are valuable tools that may help farmers improve efficiency and make better decisions. The seminar will focus on two case studies- retrieval of crop biophysical parameters from UAV hyperspectral imagery and fruit detection using high-resolution UAV RGB imagery.
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2022 · MSU · Introduction to Atlas
An introduction to Atlas
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2022 · SCINet Corner · Introduction to ggplot2
Viswanathan Satheesh provides an introduction to programming in R with emphasis on ggplot2.
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2022 · MSU · Introduction to Atlas
An introduction to Atlas
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2022 · Geospatial Working Group · 2022 Geospatial Workshop
Provides hands-on tutorials on workflows to access the SCINet HPC systems and conduct geospatial research at scale and fosters geospatial research efforts.
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2022 · MSU · Introduction to Atlas
An introduction to Atlas
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2022 · SCINet Corner · A Brief Introduction to R
Viswanathan Satheesh presented on A Brief Introduction to R.
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2022 · Carpentries · Software Carpentries
SCINet sponsored a Software Carpentry workshop covering the Unix Shell, version control with Git, and plotting and programming with Python.
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2022 · Data Wrangling Workshop
Data wrangling with unmanned aerial system data
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2022 · MSU · Introduction to Atlas
An introduction to Atlas
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2022 · Carpentries · Software Carpentries
Software Carpentries
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2022 · SCINet · Developing a UAS Program
Developing a UAS Program
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2022 · Carpentries · Data Carpentries
Data Carpentries
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2022 · Carpentries · Data Carpentries
Data Carpentries
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2022 · MSU · Introduction to Atlas
An introduction to Atlas
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2022 · SCINet · Advanced Topics in Deep Learning
Advanced Topics in Deep Learning
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2022 · SCINet · Introduction to Image Processing and Classical Machine Learning
Introduction to Image Processing and Classical Machine Learning
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2021 · MSU · Introduction to Atlas
An introduction to Atlas
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2021 · SCINet · Command-line Skills for Scientific Computing
Hands-on introduction to the Unix command line
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2021 · ARS · Symposium: AI at the Frontiers of Protein Science for Agriculture
Symposium and conference to learn about how AI is transforming protein science, hear about protein science happening right now at ARS, and discuss new research opportunities for the future.
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2021 · SCINet · Command-line Skills for Scientific Computing
Hands-on introduction to the Unix command line
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2021 · AI-COE · SCINet and AI COE Fellows Conference 2021
SCINet and AI COE Fellows Conference 2021
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2021 · SCINet · SCINet Onboarding
SCINet Onboarding Assistance
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2021 · SCINet · SCINet Onboarding
SCINet Onboarding Assistance
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2021 · SCINet · SCINet Onboarding
SCINet Onboarding Assistance
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2021 · SCINet · Logging Into SCINet
Get hands-on support to help walk you through the process of logging into SCINet
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2021 · SCINet · Introduction to SCINet
Hear a brief overview of SCINet
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2021 · MSU · Introduction to Atlas
An introduction to Atlas
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2021 · MSU · Introduction to Atlas
An introduction to Atlas
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2021 · MSU · Introduction to Atlas
An introduction to Atlas
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2021 · NMSU · NMSU-USDA-ARS AI Workshop
Presented by Laura Boucheron from New Mexico State University.
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2021 · MSU · UAS Data Wrangling Workshop
Fifty ARS researchers and university collaborators participated in a UAS Data Wrangling Workshop hosted by Mississippi State University Geosystems Research Institute
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2020 · Geospatial Working Group · 2020 Geospatial Workshop
The working group held their annual workshop over 6 separate Zoom sessions which were attended by over 60 scientists, post-docs, research leaders, and data managers. The sessions included an annual meeting of the working group, four tutorials on high-performance computing including 1 tutorial on the use of machine learning, and a symposium on the use of AI techniques in agricultural research. Detailed information on all the sessions, including recordings (to be posted soon), can be found on the session pages of the workshop website
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2020 · Carpentries · Software Carpentry Workshop on Shell, Git, and R for USDA
ARS scientists Jonathan Shao and Amanda Hulse-Kemp, along with two other non-ARS instructors (Jacob Deppen, Preethy Nair), held a 2-day Software Carpentry workshop covering Shell, Git, and R for 20 USDA participants.
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2020 · Carpentries · Software Carpentry Workshop on Shell, Git, and Python for USDA
Instructors from The Carpentries with the help of ARS scientists Kathy Yeater, Anna Childers, and Steve Schroeder held a 2-day Software Carpentry workshop covering Shell, Git, and Python for 20 USDA participants.
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2020 · SCINet · Unix Tutorial Follow Along
Andrew Severin of the SCINet VRSC held a 4-hour hands-on introduction to the command line, helping participants login to the SCINet Ceres high performance computer and execute common Unix commands.
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2020 · SCINet · Introduction to SCINet
Andrew Severin of the SCINet VRSC held a 3-hour training session covering what SCINet is, a walk through of scinet.usda.gov and bioinformaticsworkbook.org, and an intro to the SCINet HPC Ceres cluster, followed by a Q&A session with participants.
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2019 · ARS · AI and Machine Learning SCINet Conference: Current Uses and Potential to Solve Complex Problems in Agriculture
In September 2019, approximately 40 ARS research leaders, administrators, and scientists met at the George Washington Carver Center in Beltsville, MD for a SCINet-funded conference focused on the use of artificial intelligence
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2019 · Geospatial Working Group · 2019 Geospatial Workshop
A group of over 36 geospatial scientists, post-docs, research leaders, and data managers gathered at the ARS Jornada Rangeland Research Unit in Las Cruces, NM on September 10-11, 2019 to discuss high-performance computing (HPC) issues and artificial intelligence research methods applied to geospatial problems. The group identified computational issues with accessing and using SCINet and the ARS HPC system for geospatial research and also gained exposure to relevant machine learning and deep learning research methods. The workshop resulted in the creation of a SCINet Geospatial Research Working Group to continue identifying and addressing complex computational problems as well as to collaborate on new geospatial research projects.
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2019 · LTAR Phenology Working Group · Training to develop computational links from ground to satellite: LTAR phenology network case study
A group of 12 researchers including ecologists and data scientists representing ARS and collaborating University partners met at the ARS Jornada Rangeland Research Unit in Las Cruces, NM in August 2019 to learn how the use of SCINet and CERES could expand the scope and impact of an on-going collaborative research project.
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2019 · ARS · Artificial Intelligence and Machine Learning Training
A group of 30 ARS researchers and 20 researchers from the University of Florida (UF) met in Gainesville, FL in August 2019 to gain experience with various machine learning research techniques through interactive training modules
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2016 · AGR Working Group · Arthropod Genomics Research Workshop 2
Thirty three members of the Arthropod Genomics Research community representing all five Areas of the Agricultural Research Service convened a workshop charged with building collaborative research communities and improving communication channels in the Agency.
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2014 · AGR Working Group · Arthropod Genomics Research Workshop 1
Formation of the AGR working group.