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Field
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. RISE AI/ML Engineers use their skills in machine learning, deep learning, AI, big data and software application and development to provide these skills to assist researchers in developing solutions
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Performance Computing Clusters. Preferred Qualifications Experience in Machine Learning analysis of complex image data sets. Experience with spaceborne and ground-based astronomical imaging data sets and
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in machine learning and computer vision. Strong publication records in top-tier machine learning or computer
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compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
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structures or subcortical areas Experience in applying machine learning in neuroscience Experience in analyzing large MRI dataset Familiarity with analyses of structural MRI data (volumetric and/or DTI
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University of Science and Technology (NTNU) has a vacant position as PhD candidate in the field of machine learning for materials science. Your immediate leader will be the Head of Department. About the
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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artificial intelligence (including reinforcement learning and large vision-language models), biophysical digital twins, multimodal data processing, personalized rehabilitation, and human-AI symbiosis. The RSE
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established