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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, and Fagales. Research Focus While the two positions will work closely together and share many responsibilities, they have slightly different initial focus areas: Position 1: Computational Genomics and
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, an excellence-based research institute KU Leuven, one of Europe’s leading research universities State-of-the-art research facilities An extensive VIB and KU Leuven training program to broaden your
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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is
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spectral flow cytometry and microscopy (FELASA certificate required). Experience with -omic approaches and computational tools for data analysis is desirable. Solid publication record in peer-reviewed
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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the life sciences and have access to its state-of-the-art high-throughput computing facilities. Profile We are looking for a motivated postdoctoral researcher interested in studying human-associated