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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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coaching master’s students working on consultancy projects and supporting them in applying their skills in real organisational contexts. Where to apply Website https://www.academictransfer.com/en/jobs/359389
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). Experience applying statistics and Machine/Deep Learning to real-world data. Experience working with manufacturing process data, robotics systems and/or metrology data (sensor data, quality data, measurement
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programming languages; Ability to learn independently and passion for research. What do we offer you? You will be employed by NLR as a PhD candidate at NLR Amsterdam. NLR offers you a 4-year research contract
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 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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multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming