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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, or equivalent). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields
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, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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The Department of Mechanical and Production Engineering (MPE) at Aarhus University invites applications for a postdoc position offering applicants an exciting opportunity to join the “Fluid
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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to specifically the area of soil water retention and transport in the vadose zone and the main focus of your position will be to develop hybrid differentiable models that combine soil physics and soil science
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-climatic variability modulates crustal deformation and seismic hazard. Within this interdisciplinary framework, we are seeking a seismologist with strong theoretical and computational skills to develop new
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topics include, for example: Quantum information in quantum gravity Relativistic Quantum Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g