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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance
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, Geophysics, Computer Science, or a related field. A solid grasp of general physics and a keen interest in the physics of wave propagation. Strong programming skills in Python, Matlab, or similar languages. You
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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(applicants completing their studies before June 2025 will also be considered) Master in Computer Science, Applied Mathematics, Remote Sensing, Geomatics or related. Experience with deep learning framework (e.g
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Required Qualifications: A Master's degree (MSc) in geodesy, hydrology, geosciences, geophysics, computer science, physics, or a closely related discipline A strong foundation in mathematics, physics, data
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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20%, Zurich, fixed-term The Professorship for Research on Learning and Instruction at ETH Zurich strives to discover effective, evidence-based ways to improve educational practice with an eye towards generalizable principles across content areas and issues of societal relevance. The group is...
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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100%, Zurich, fixed-term The research group of Prof. Simonov at ETH Zurich is seeking a motivated PhD candidate interested in developing computational approaches for understanding disorder in