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is essential for a sustainable society. In this project, you will develop and apply advanced computational techniques to explore nano-catalysts for hydrogen carrier synthesis. Our vision is to
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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multidisciplinary theme. The program prepares next-generation computational biologists with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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contact: Prof. Eduard Hryha, director of CAM2 and topic leader: hryha@chalmers.se Prof. Uta Klement, head of Division of Materials and Manufacture: uta.klement@chalmers.se We look forward to your
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of Stockholm Trio (KI, KTH, SU) and is the only SciLifeLab site that co-localizes researchers from multiple universities under one roof. By working together Stockholm Trio has been able achieve a significant
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Tenants’ Association. The supervisors represent expertise in: Sustainable architectural design, building transformation and renovation (Prof. Paula Femenías, Chalmers) Sociology with focus on environmental
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to references will be requested after the interview. We welcome your application no later than July 12th, 2025 For questions, please contact: Associate Prof. Jinhua Sun, jinhua@chalmers.se Prof. Uta Klement (Head