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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Graduate School https://wise
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industry have started exploring alternative materials, devices, and circuit architectures, particularly in the rapidly expanding field of AI hardware. Atomically thin two-dimensional transition metal
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in multilayer electronic devices -Identifying/optimizing novel polymers and photosensitive materials for additive manufacturing -Developing femtosecond/picosecond laser-based micro-drilling and
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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circularity and decarbonization agendas in architecture, focusing on digitally aided design with reclaimed materials. Your tasks will include developing custom digital workflows and tools to: Utilize available
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chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic research to more applied projects often focusing
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of computational solid-state materials research! As a PhD student in the Condensed Matter and Materials Theory division , you will have the opportunity to explore surface and device physics, using density functional
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Stage Researcher (R1) Country Sweden Application Deadline 2 Apr 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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description The subject of Energy and Environmental Engineering is built up and developed by the research in the research specialisation of Future Energy. This research programme is mainly technologically