56 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in Belgium
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in
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targeted integration of large DNA cargos Drive process mapping, modelling, and techno-economic assessments to support cost-effective and scalable manufacturing strategies Contribute to the development
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, automatisation, equipment procurement and SOP development. Conduct mechanistic studies using the triple co-culture platform, addressing both fundamental and translational questions in Alzheimer’s disease. Your
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, automatisation, equipment procurement and SOP development. Conduct mechanistic studies using the triple co-culture platform, addressing both fundamental and translational questions in Alzheimer’s disease. Your
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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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of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models
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, biomedical data science, digital health, epidemiology, and environmental health. The position focuses on the development, validation, and interpretation of AI models for health risk prediction using
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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postdoctoral researcher you will: Develop and implement reinforcement learning approaches for epidemic mitigation. The main focus in this position is on research; Work with epidemic simulation models and