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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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your previous metabolomics and wet lab experience, and the biological questions you addressed in your PhD. Your CV Contact information of at least 2 references Interviews will begin as early as April
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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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machine learning approaches for multimodal data integration and cis-regulatory network reconstruction. We are looking for a talented and highly motivated scientist for a postdoctoral position in our lab
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where the phagocytosis takes place. To this end, we are looking for a motivated candidate with strong expertise in cell biology/immunology and biochemistry. Expertise in epigenetics and imaging is a bonus
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strong bioinformatics expertise and knowledge in programming languages and transcriptomic/multi-omic data analysis to help us unravel the complex interaction of cancer cells and their environments