The 3D-BioInfo Community is concerned with improving the ontologies and validation tools for enabling better integration of the data and methods for analysing and predicting protein structures and their complexes. Part of this work is presented in an ongoing series of webinars
Date: Mon 20 Jan 2025 - 16:00 to Mon 20 Jan 2025 - 17:00 GMT
This 4 day school will guide across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).
Application deadline: 24.02.2025
Date: May 19th 2025 - May 23rd 2025
This 4 day school will guide across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).
Date: 20h February, 2025 - 09:00 a.m. to 12:00 p.m. CET
For biologists who are eager to perform functional annotation of a set of differentially expressed genes.
Application deadline: 14 February 2025
Date: 14 March 2025
This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of data types including electron and light microscopy and miscellaneous or multi-modal imaging data at the cell and tissue scale. Participants will cover contemporary biological image analysis with an emphasis on machine learning methods, as well as how to access and use images from databases.
Applications close: 19 January 2025
Date: 31 March - 04 April 2025
This course will focus on the analysis of data from genomic studies of cancer. It will also highlight the application of transcriptomic analysis and single-cell technologies in cancer. Talks and interactive sessions will give an insight into the bioinformatic concepts required to analyse such data, whilst practical sessions will enable the participants to apply statistical methods to the analysis of cancer genomics data under the guidance of the trainers.
Application deadline: 09.02.2025
Date: 12 - 16 May 2025
This free online course is open for everyone interested in supercomputers and high performance computing. Level: Basic, no prerequisites or study rights to higher education institution needed.
Uncover impactful strategies and tested methods to enhance the quality and effectiveness of your feedback processes. Whether you’re an instructor or a participant, mastering feedback and assessment techniques can significantly elevate your training experience.
Date: 14 February - 10:00-11:00 CET
This workshop is for anyone working with microbial data, interested in active learning, and gaining skills in research data management.
Date: 18th February, 2025 - 09:00 a.m. to 12:00 p.m. CET
The workshop is suitable for life scientists who are new to single cell gene expression technology data analysis. It is open to PhD and Post-Doc research scientists, as well as team leaders and PIs. This course offers a comprehensive introduction to single-cell RNA sequencing (scRNA-seq) data analysis using open-source tools, with a focus on the rCASC package.
Deadline for applications: 20th January 2025
Course date: 10-12 February 2025