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trainings, conferences, summer schools and personal development initiatives, tailored to the needs of scientists across the globe. About the role As a Training and Conferences Officer within the Training
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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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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
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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hands-on experience in venture building, innovation, and ecosystem development Work closely with inspiring founders, partners and investors across Europe’s biotech ecosystem Get first-hand exposure
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of genetically transformed plants for internal research and external stakeholders. In addition to transformation tasks, you will contribute to research and development aimed at improving transformation efficiency
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an awesome team Lifelong learning: access to VIB’s personal and professional development initiatives How to apply? Motivated candidates should apply via the VIB Online career platform (https://jobs.vib.be
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creation, you will work at the interface of academic research and venture development. How to apply Please complete the online application procedure (https://jobs.vib.be/apply/135102 ) and include a
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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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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