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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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who show genotypes and biomarker phenotypes relevant to Alzheimer’s disease. Key responsibilities: Coordinate the derivation, quality control and biobanking of participant-derived iPSC lines, in
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and other data-driven use cases across VIB. Working directly with data, pipelines, transformations, models and code, you build and implement robust and scalable data solutions as part of your day-to-day
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data-driven use cases across VIB. Working directly with data, pipelines, transformations, models and code, you build and implement robust and scalable data solutions as part of your day-to-day work. The
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management and communication skills, with the ability to navigate different interests and perspectives. Excellent command of English and Dutch, both written and spoken. Our offer A full-time, open-ended
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& AI ). We are seeking an Data Scientist with a background in bioinformatics or computational biology to explore, build, and deploy tools based on large language models (LLMs) that support research
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mathematical models to address fundamental questions in biology. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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independently execute routine workflows, such as DNA/RNA quality control, library preparation procedures, setting up sequencing runs on our NGS instruments etc. Besides manual execution of some laboratory
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computational teams Access to unpublished validation data unavailable to existing agents State-of-the-art computing capable of running dozens of local large language models concurrently Data from emerging