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in your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research on
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
the University of Amsterdam is looking for an Assistant Professor to work on machine learning for formal reasoning and verification. This is what you will do The position of Assistant Professor
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is part of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 22 days ago
experimentally. Machine learning potentials can overcome typical bottlenecks of empirical potentials for simulating dislocations, cracks and hydrogen diffusion near precipitates embedded in ferritic
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 22 days ago
or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles
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(Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new
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and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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between genetic risk factors and neurodevelopment. This interdisciplinary, NWO-funded project brings together large-scale datasets and advanced analytical methods, including machine learning, genomics
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Radboud University Medical Center (Radboudumc) | Nijmegen, Provincie Gelderland | Netherlands | about 2 months ago
researchers to join our effort in AI for protein structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong
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machine learning methods for signal processing, image analysis, data fusion, and prediction; build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches