209 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" positions in Switzerland
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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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infrastructure (e.g., software platforms, databases, laboratory automation, and computer-aided instrument control). Translating chemical research questions into IT-supported processes and computational solutions
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for world class research in the field of robotic fabrication in architecture and construction. Job description We are looking for a highly skilled software engineer to work on the development of python
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways to Sustainability course program); Conducting a market analysis of existing courses in the field
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scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
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output in high-level peer-reviewed scientific journals. Your profile You must hold a PhD in Physics, Chemistry, Material Science, Computational Science, or similar. A high level of motivation to work in
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable
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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems