13 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral research jobs at VIB in Belgium
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-generation combinatorial editing tools and applying them to study genetic interactions. As all our projects integrate high-throughput experiments with computational analyses we are particularly interested in
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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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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
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scientist to study the human-specific genetic mechanisms of development and function of cortical neurons. Join us to undertake a highly interdisciplinary project focusing on a long-standing and fascinating
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spin-offs and start-ups, creating a natural home for researchers and their families. English is very widely spoken in the city and surrounding area. We are looking for a postdoctoral computational
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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
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brain connectivity, as defects in microglia have been recently linked to neurodevelopmental disorders. In addition, genetics of neurodegeneration place microglia as one of the central drivers of disease
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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