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hands-on responsibility to the development, implementation and continuous improvement of the data solutions and data products delivered by the team. As part of a collaborative team, you build and improve
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-on responsibility to the development, implementation and continuous improvement of the data solutions and data products delivered by the team. As part of a collaborative team, you build and improve these solutions
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of both biology and (agent-driven) software engineering Fluency in written and spoken English Embraces complexity Our offer An interdisciplinary environment spanning wet-lab, technology-development and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD
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an innovative, challenging and international working environment in the large life-sciences network of VIB. We offer opportunities for personal development. Taking additional training and courses is
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computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science, computational biology, computational neuroscience
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practices and international standards.Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD