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Italy: BioExcel Summer School on Biomolecular Simulations 2025

The annual flagship event provides a comprehensive combination of lectures and tutorial sessions on biomolecular modeling and simulations using modern applications and tools. The BioExcel School is intended primarily for PhD and post-doctoral researchers using or planning to use biomolecular modeling and simulation in their everyday research.

Registration closes: 14th February 2025

Dates: 8 – 13 June 2025

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Webinar: Vistle Part I: An Introduction to Immersive Visualizations of Large-Scale Scientific Data

This one-hour webinar introduces the visualization tool Vistle, which is used to create augmented reality/virtual reality visualizations of large-scale scientific datasets. It presents Vistle’s remote rendering functionality and how Vistle is being ported to GPUs as part of the CEEC project to enable visualization for exascale datasets.

Date: January 29, 2025

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EMBL- EBI: Introduction to metabolomics analysis

This course is aimed at researchers who are new to the field of metabolomics and wish to learn about the process of conducting a metabolomics study. The course will benefit those who are planning to integrate metabolomics into their work, either moving into the field or as an investigator from other -omics. We will primarily focus on a basic introduction to metabolomics with worked examples using a predesigned LC-MS analysis workflow.

Application deadline: 02 February 2025

Date: 20 - 23 May 2025

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International SIB Bioinformatics Awards

Since 2008, the SIB Bioinformatics Awards acknowledge the best work by early career bioinformaticians and ground-breaking resources every other year. The awards are open to researchers from all over the world. There is something for everyone, with three categories to choose from: PhD Paper Award, Early Career Award and Innovative Resource Award.

Deadline to apply: 31 January 2025.

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Introduction to Exploratory Data Analysis (EDA) with R - 29.01.2025

Course is full. You can sign up for a waiting list in case anyone cancels their attendance.

Are you ready to unlock the potential of your data? This one-day workshop will introduce you to Exploratory Data Analysis (EDA)—an essential first step in any data analysis workflow. Designed for graduate-level learners without a computational background, this course will equip you with the foundational skills to summarize, visualize, and interpret data effectively. With a hands-on, beginner-friendly approach, you’ll practice these skills using real-world datasets and leave with the confidence to explore data independently.

Before attending the course, please ensure you have installed on your laptop: