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background Are you ready to dive into Materials Science? We are looking for a PhD candidate at the Laboratory of Metal Physics and Technology (LMPT) to explore the relationship between the nanoscale
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bioinformatics-related images for computational pipelines. Evaluate and procure compute resources for High-Performance Computing (HPC) platforms, managing access. Write automation scripts (e.g., Python
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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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-biodegradable polymers. Your profile Master Degree or PhD in environmental/natural sciences or engineering or similar Experience with development of computational models Preferably some experience with plastics
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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fully funded, full-time PhD position focused on the development of novel, energy-dense materials for asynchronous storage and dispatch of high-quality heat. The position is expected to start on 1 August
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fully funded, full-time PhD position focused on the development of novel thermochemical approaches for the production of green hydrogen. The position is expected to start on 1 August 2025
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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The ETH AI Center is one of the largest AI centers in Europe with over 120 Professors from all 16 departments of ETH Zurich and over 1500 PhD students & post-docs. Our mission is to foster