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executing computational projects. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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competitive research program in molecular immunology, with a potential for therapeutic translation. The professorship focuses on understanding how the immune system interacts with diverse tissue environments