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Field
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms
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14 Aug 2026 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of digital healthcare, healthcare management, information systems, or other related areas; Excellent oral and
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AI Literacy” (https://ceur-ws.org/Vol-4138/paper3.pdf ). About the position You will support the further development of COMIG and contribute to empirical data collection, analysis, and reporting. You
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constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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in CSlib’s steering and technical leadership . Whom we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer Science or Mathematics. An ideal