This intermediate level course is addressed to biologists, bioinformaticians, and other computational scientists which use python in their research and would like to enhance their data exploration and presentation capabilities with interactive plots.
Registration deadline: 22 October 2024
Date: 12 November 2024
We will delve into “Time Management in Training Courses”. Discover effective strategies and proven techniques to enhance your punctuality and productivity. Whether you’re an instructor or a participant, mastering time management can significantly improve your training experience.
This course is aimed to provide basic survival skills in Linux and the terminal environment. We will teach you how to access files and folders, move around and hopefully shake off the fear of getting stuck somewhere along the way.
No prior knowledge is expected.
Requirements: Bring your own laptop and please follow the setup tutorial: https://elixirestonia.github.io/2021-09-28-shell-novice/setup.html
This poster offers an overview of the work done by the ELIXIR Estonian node, both current and previous. It outlines the focus of our work and provides insights into the training conducted by the node, the various tools and services developed, and collaborations with other countries.
Poster is also available for viewing in Zenodo repository: https://doi.org/10.5281/zenodo.13847963
This course introduces the basics of Markdown, a lightweight markup language used to format plain text in documents. Markdown plays a crucial role in scientific research by enabling the efficient writing of reports, code documentation, and creating well-organised research notebooks. Students will learn essential Markdown syntax throughout the course, including formatting text, adding links, images, tables, math equations, and code blocks. By integrating Markdown with Jupyter Notebook, participants can build dynamic laboratory notebooks that streamline the documentation, analysis, and sharing of research findings.
The UniTartuCS Day, held annually in September, offers students a unique opportunity to connect with researchers and lecturers, explore thesis topics, and establish ties with research groups. ELIXIR Estonia participated in the event with a poster presentation, and our Head of Node, Hedi Peterson, proposed four possible thesis topics applicable to both Bachelor’s and Master’s students. For more information, we encourage you to reach out to us.
Git is used across the world to help developers keep track of changes while working on different parts of the same project. Teams are not the only ones to benefit from version control: lone researchers can benefit immensely. Keeping a record of what was changed, when, and why is extremely useful for all researchers if they ever need to come back to the project later on (e.g., a year later, when memory has faded).
DOME is a set of community-wide guidelines, recommendations and checklists, spanning these four areas (Data, Optimization, Model and Evaluation in Machine Learning) aiming to help establish standards of supervised machine learning validation in biology. The work was initially published in 2021 with more details on the DOME-ML page. This activity is part of the Machine Learning Focus Group.
Date: 24 September 2024, 13:00 CEST
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
This course will not make the participant an absolute expert in the complex and dynamic world of Deep-Learning. Still, it will aim to “break the ice” through the explaination and implementation of simple yet concrete, deep-learning models using the PyTorch library. Participants will be introduced to the basic building blocks of deep-learning models and how the main parameters are tuned and monitored to ensure the training of large models. This course is aimed at PhD students, post-docs and researchers in life sciences who already know about Machine Learning and would like to discover and start practising Deep Learning with PyTorch.
Application deadline: 31 October 2024
Date: 07 - 08 November 2024