Course in Bern, Switzerland: Long-read Sequence Analysis
This course is addressed to anyone working with or interested in working with long-read data.
Application deadline: 19 February 2025
Date: 27 - 28 February 2025
This course is addressed to anyone working with or interested in working with long-read data.
Application deadline: 19 February 2025
Date: 27 - 28 February 2025
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
The aim of the Programme is to offer cutting-edge research, research training and career development for talented researchers of any nationality in fields associated with big data, data analytics, machine vision and artificial intelligence.
Application deadline: End of February
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.
Have you heard the word metadata but have no idea what it refers to, what type of content is found in metadata, how it is being used and why to use it? This asynchronous e-learning course (1h) can be completed online, at the desired pace and in the absence of an instructor.
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:
This course introduces scientific researchers and PhD students to Notion, a versatile and powerful tool for productivity and organisation. Participants will learn to use Notion to streamline their workflows, manage their research projects, and enhance collaboration with colleagues. By the end of the course, attendees will have a deep understanding of Notion’s features and practical strategies to integrate them into their daily routines.
This course introduces scientific researchers and PhD students to Notion, a versatile and powerful tool for productivity and organisation. Participants will learn to use Notion to streamline their workflows, manage their research projects, and enhance collaboration with colleagues. By the end of the course, attendees will have a deep understanding of Notion’s features and practical strategies to integrate them into their daily routines.
Course is full. You can sign up for a waiting list in case anyone cancels their attendance.