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Online course: Diving into deep learning - theory and applications with PyTorch

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

Registration

Conference in Sweden: The Swedish Bioinformatics Workshop (SBW) 2024

The Swedish Bioinformatics Workshop (SBW) is an annual event that has been organized by different universities in Sweden since 2000. It is the biggest meeting of bioinformaticians and computational biologists in Sweden. Senior scientists and non-academic participants are welcome. In addition, the SBW2024 is part of the Nordic Computational Biology (Nordic CompBio) week and is open to participants from other Nordic countries (Estonia included).

Application deadline: 1st of October 2024

Date: 4-5 November 2024

Registration

Data visualisation (theory) - 03.10.2024

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.

RStudio Basic - 02.10.2024

R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.

RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.

It would be beneficial to participate in OpenRefine course, so your data would be clean before you start analysing it.

How to make your messy data usable? / OpenRefine - 24.09.2024

The practical workshop on cleaning your messy data with OpenRefine software.

First, we will cover spreadsheet best practices. Then, we will put that knowledge into practice with OpenRefine. This course will explore the depths of OpenRefine software and see what it can offer. This will include cleaning the data in bigger batches and unifying the data in one sweep (transforms and expressions). Additionally, we will introduce the possibility of downloading additional data from other databases and different extensions OpenRefine software has.

Virtual 2 Day Workshop SABIO-RK and FAIRDOMHub / FAIRDOM-SEEK

SABIO-RK is a manually curated database for biochemical reactions and their kinetic properties. FAIRDOMHub is a free research data management platform built upon the FAIRDOM-SEEK software. FAIRDOM-SEEK contains specific features for systems biologists for data and model management. This is an introductory course for SABIO-RK and FAIRDOMHub. You have the option to participate in either one or both of the courses.

SABIO-RK: 25-NOV-2024 2:00 pm - 5:00pm (CET / UTC +1)

FAIRDOM-SEEK: 26-NOV-2024 2:00 pm - 6:00pm (CET / UTC +1)

More Info and Registration

Crash Course in Data Management - 18.09.2024

Data management is an essential part of scientific research and is crucial for maximizing the value of data. Crash course in Data Management is an introductory course that equips researchers with the necessary skills for effective organization and management of research data. Participants will gain knowledge of best practices in data documentation, backup, and sharing. We will go through exercises and assignments to reinforce new knowledge.