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capabilities, leveraging high-throughput experimental data to connect genotype to community-level function. Responsibilities could include: · Develop novel computational, hybrid, and deep learning models
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, particularly multivariate statistics and data modelling would be an advantage. Training will be provided in additional aspects of biology required for successful completion of the programme. The ability to work
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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compact load-bearing systems operating under multi-physics conditions. This role will bridge theoretical structural mechanics, computational modelling, and laboratory validation to produce publication
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Communications AI & Computing (https://www.nature.com/commsaicomp/ ). Communications AI & Computing is a multidisciplinary open-access journal publishing high-quality research across computational sciences and
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position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in
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textile value chains and business models, in order to address optimisation problems and sustainability challenges. You will teach in textile management with a main focus on supply chain management
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The centre’s research focuses on the molecular basis
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The centre’s research focuses on the molecular basis
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Recognised Researcher (R2) Application Deadline 15 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not