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by combining machine learning with in-depth knowledge of biological processes. We aim to work towards foundation models and integrative theories of biological systems, and towards innovative AI-driven
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
models and integrative theories of biological systems, and towards innovative AI-driven biotech applications in synthetic biology, agro-tech, and personalized medicine. AI-driven research at VIB.AI starts
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evolution Experience with next-generation sequencing data analysis Familiarity with bioinformatics pipelines Background in evolutionary theory and/or ecology Experience with data handling and statistical
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evolution Experience with next-generation sequencing data analysis Familiarity with bioinformatics pipelines Background in evolutionary theory and/or ecology Experience with data handling and statistical
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laboratory experience on circuit tracing and behavior. Experience in coding and knowledge of neurodegeneration are a plus. enjoys working in a multidisciplinary and multicultural scientific environment enjoys