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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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and invited for interviews. The position remains open until a suitable candidate is found. For further information and questions, please send an email to Roosmarijn Vandenbroucke .
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, critical, and creative individual to join our team. The successful candidate: Holds a PhD in neuroscience Has at least one first-author research publication in a peer-reviewed international journal Has
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strong interest in developmental, cellular or molecular neurobiology, in link with human brain evolution and diseases. PhD in neuroscience, genetics, evolutionary biology or related field. Experience in
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Postdoctoral position to study species-specific mechanisms of gene regulation in human neurons. The Vanderhaeghen Lab (https://pvdhlab.org ) and the Aerts Lab (www.aertslab.org ) at VIB KULeuven
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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
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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
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motivated PhD students, one postdoctoral researcher, one bio-informatician and two technicians with whom you will work in close collaboration. Profile PhD in biochemistry/biotechnology, biomedical sciences
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these areas. Experience in guidance of master and/or PhD students is an asset. We offer A full time competitive salary for a postdoc position for 3 years, according to the Belgian law, with possibilities
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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