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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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The Plant Ecology Group at ETH Zürich, led by Professor Janneke Hille Ris Lambers, is seeking an enthusiastic PhD candidate to study how seed and seedling pathogens influence forest regeneration
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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of SIS (e.g., HPC systems engineers, data scientists, research software developers) and external collaborators. Profile a PhD or equivalent in Computational or Computer Science, Engineering, Physics, or a
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founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented
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technologies to characterize animal genomes, and apply bioinformatics and statistical genomics approaches to identify trait-associated sequence variation. We offer a PhD position at the interface
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students conduct in the department. Profile The ideal candidate will possess: A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline, Experience in the analysis