-
unravel plant biological processes and translate this knowledge into value for society. The Vandepoele lab (https://www.vandepoelelab.be/ ) is home to an enthusiastic, diverse and international group
-
the creation of fundamental knowledge on key metabolic processes, envisioning a considerable reduction in the cost of biotechnological production processes and the acceleration of their development. Job
-
and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
-
for months, years, or even millennia. Our lab aims to resolve the molecular mechanisms behind this process, focusing on how promiscuous enzymes (un)intentionally transform cellular metabolites into degradation
-
should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
-
interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
-
strong background (PhD) in single cell/spatial omics technologies and implementation. Having successfully applied state-of-the-art genetic engineering technologies (such as CRISPR/Cas9, lineage tracing
-
successful, and feels valued. In addition, you will have the opportunity to experience and influence a fresh lab atmosphere. Your Profile The successful candidate: holds a PhD in neuroscience. has a at least
-
microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology, human microbiota, microbiology or other relevant areas