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14 Nov 2025 Job Information Organisation/Company RUĐER BOŠKOVIĆ INSTITUTE Department Division for Marine and Environmental Research Research Field Computer science Geosciences » Other Researcher
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, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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approached by tools in both computational chemistry and applied mathematics. Specifically, the project involves the development of mathematical modeling strategies at both numerical and analytical level to
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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 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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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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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