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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 7 hours ago
23 Dec 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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devising successful models, techniques and methods (e.g., regression modelling, causal inference, survival analysis, Bayesian approaches, risk factor estimation) Extensive experience and achievement in
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Infrastructure? No Offer Description Online dosimetry is an innovative approach aimed at improving radiation dose assessment for occupationally exposed workers. Traditional methods rely on dosimeters, which face
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, systems, software, and solutions; directly answering compute- and data-intensive research questions; contributing novel ideas, expertise, and methods to the teams' intellectual discourse and advancement
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 17 days ago
site in the PACA region of France. They consist of a mirrored side and a painted side. Rather than resorting to manual computer graphics work, the general aim of the project is to to develop the lightest
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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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12 Dec 2025 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First Stage
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employees. More information can be found here . Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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sites and time periods. Use the newly developed tools to estimate key ecosystem and land-surface parameters, and compare the results against existing model–data fusion methods. Apply the improved