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-026-01104-3. Preferred skills/knowledge Applications are invited from graduates in quantitative disciplines such as computer science, AI, and mathematics, but we also encourage applications from
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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
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Criteria Master’s degree (or equivalent) in Electrical Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state
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sites, highly engineered geological repositories or in the marine environment. However, redox controls on porewater chemistry in these environments is poorly understood and requires robust datasets
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Responsible AI 39 Faculty of Computer Science Startdate: 15.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 12.10.2029 Reference no.: 6159
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Research Group: Nanocomposites Project Overview We welcome a highly motivated PhD researcher with a background in chemistry, polymer science, materials science, chemical engineering, or a related discipline
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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(BSPP) in the Faculty of Human, Social and Political Science. The start date for this role will be as soon as possible. This is an exciting opportunity to join the Bennett School of Public Policy (BSPP
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with support from biostatisticians within the group. The bioinformatic work will be performed using high performance cloud computing solutions. This project offers the opportunity to utilise emerging
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are excited to work across disciplines and contribute to cutting-edge research at the interface of biology, chemistry, imaging, computation, and AI. Molecular Perturbations: Chemistry Engineering Biology