A number of interesting courses from the BioSB Research school are scheduled in the coming months. Please note that two courses still have an early bird rate, so register in time!


Knowledge Graphs in the Life Sciences
13 - 17 March, Wageningen
NOTE: there are only a few spots still available

The first part of the course introduces you to the knowledge, theory, and skills needed to work with Linked Data. We will then focus on research and industrial data applications and needs that are increasingly in demand.
 
The course is aimed at PhD students with a background in biology, computer science or a related field, and life sciences. Participants from the private sector are also welcome. Preparation material will be distributed dug the course.

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More information about the course can be found here
Registration can be done here
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Molecular Epidemiology of Complex Diseases
12 - 16 June, Maastricht
NOTE: deadline early bird rate = 16 April 2023

This course aims to facilitate the acquisition of the essentials of molecular epidemiology: combining information from molecular biomarkers as obtained through omics technologies, with lifestyle and environmental factors, to understand disease occurrence and prognosis in population-based studies.

The audience targeted is two-fold, firstly PhD students, postdoctoral fellows, PIs, and all other researchers/R&D staff working in bioinformatics and systems biology, who want to extend, update or refresh their knowledge on this dynamic domain. Secondly, we also invite participants with a(n original) background in epidemiology, biology, biomedical sciences, medicine, statistics, and related fields, who want to become acquainted with this expanding research area.

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More information about the course can be found here
Registration can be done here
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Algorithms for Biomolecular Networks
26 - 30 June, Wageningen
NOTE: deadline early bird rate = 30 April 2023

In this course, we will first give a brief overview of molecular biology, the advent of high-throughput measurement techniques and large databases containing biological knowledge, and the importance of networks to model all this. Next, we will discuss variing network models  Building on the network inference methods, a number of ways of integrating various data sources and databases to refine biological networks will be discussed.

The course is aimed at PhD students with a background in bioinformatics, computer science or a related field; a working knowledge of basic statistics and linear algebra is assumed.

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More information about the course can be found here
Registration can be done here
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We hope to welcome you to one of our courses!
Kind regards,

Petra Aarnoutse
Community manager BioSB research school