62 associate-professor-computer-science-"https:" "https:" "https:" "https:" "https:" positions at VIB in Belgium
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, biomedical, medical, natural sciences, mathematics or computer science), followed by; Master’s degree or equivalent experience in molecular biology, cell biology, biochemistry, biomedicine, medicine, obtained
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for Cancer Biology: https://www.vibcancer.be VIB Center for AI and Computational Biology: https://vib.ai/ For questions: jonas.demeulemeester@kuleuven.be KU Leuven and VIB aim to be inclusive, respectful and
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Duration: Temporary replacement contract (minimum 6 months) l Start date: asap About us The VIB-KU Leuven Center for Neuroscience is part of the VIB Life Sciences Institute and is embedded within
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computational approaches and experimental biology is essential. We therefore aim to establish a dedicated Technology & Wet Lab Unit that will streamline the generation of high-quality training data and enable
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connected within the European network of peer facilities. https://agro-incubator.sites.vib.be/ https://vib.be/ About the role We are seeking an inspiring and strategic Head of the VIB Agro-Incubator to lead
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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. In particular, a dedicated training program to broaden your expertise and enhance your skill set Scientific guidance at an internationally recognized high-level State of the art research facilities
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://jobs.vib.be/apply/133111 ), including your CV and letter of motivation. More information about VIB: https://vib.be Listen to our podcast 'Called to Science ' Follow us on LinkedIn .
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental