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Field
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across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models, such as MATLAB/Simulink and
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 14 days ago
fellowship Job Status Full-time Hours Per Week 35 Offer Starting Date 19 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply large language models and multi‑agent AI to accelerate crop breeding Integrate
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@umich.edu ). Job Summary The School for Environment and Sustainability (SEAS) at the University of Michigan is seeking applications for a postdoctoral research position to apply urban modeling and
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well as design/ perform and analyse work within the project parameters. Research: design, perform and analyse work with mouse models to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS
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digital twin to model, optimise and accelerate E2E process selection and design with embedded sustainability objectives. The post holder will be responsible for undertaking original computational research
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. The successful candidate will