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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation in Neurological Disorders lab (MIND, Prof. Renzo Mancuso) at the VIB–Center for Molecular Neurology are recruiting a postdoctoral researcher to establish next-generation...
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. Make sure that your application includes: A detailed CV A one-page summary of past research activities (e.g. in PhD/PostDoc projects) A one-page letter of intent describing your motivation
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projects on genomically complex sarcomas and somatic mosaicism with opportunities to develop your own research Develop and apply computational tools and workflows for integrating multimodal datasets
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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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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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field Proven ability to lead technically complex projects Practical experience in cryo-EM/cryo-ET and/or subtomogram averaging, or outstanding computational skills applied to imaging data
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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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