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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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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
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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
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urinary tract disorders affect around 1 in 5 adults and can significantly reduce quality of life while remaining challenging to treat. Our research group has pioneered innovative techniques to study voiding
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& Disease Research. The research group aims to unravel the developmental trajectories of neurons implicated in emotional responses. Specifically, the team studies how amygdala neurons acquire their fate
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-resistant forms. By identifying the biochemical factors that govern carbon storage in the ocean, we hope to better assess the impact of human activities on this reservoir and provide transferable results
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QTOF mass spectrometers and other equipment Ability to work on high-impact research topics Support for applying to fellowships Attendance at international conferences How to apply? The starting date is
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. 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
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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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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology