229 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions in Netherlands
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, national and international meetings and report on your results in scientific publications. This position has a light teaching load of up to 10% of your working time. Would you like to learn more about what
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at VU as well as ETH Zurich be available for medium-duration (weeks) secondments at ETH Zurich to ensure knowledge transfer Where to apply Website https://www.academictransfer.com/en/jobs/360013/phd
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that addresses key societal challenges. Our faculty is large enough to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In
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Soft Matter https://www.wur.nl/en/chair-groups/biomolecular-sciences/physical-chemistry-and-soft-matter and BioNanoTechnology (https://www.wur.nl/en/chair-groups/biomolecular-sciences/bionanotechnology
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collaboratively with several graduate and undergraduate students. You will benefit from close interaction with semiconductor partners, including ASML. Where to apply Website https://www.academictransfer.com/en/jobs
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. An inter- or multidisciplinary background and good communication skills are therefore important assets. Your duties you publish research results in international peer-reviewed journals you teach for 0.1 FTE
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, carbohydrate & click chemistry, GNM formulation and anti-cancer activity. Host Institution: RiboPro B.V., R&D Department, the Netherlands. https://ribopro.eu Duration: 36 months, starting between October 2026
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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Engineering, Eindhoven University of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Where to apply Website https
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discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding