-
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
-
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
-
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
-
, 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
-
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
-
. 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
-
to the department's emanation of science in society and to the training of master students. For PhD students, this is an obligatory part of their doctoral training program. The position is immediately available
-
training program. The position is immediately available. Profile Essential A master/PhD thesis in a relevant field (structural biology, molecular biophysics (applying ITC, spectroscopic techniques
-
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