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, integrating data-driven approaches such as inverse reinforcement learning and imitation learning with cognitive and socio-technical models. The research will also contribute to the development of a broader
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
for the avatarization process, i.e. obtaining a 3D, animatable model from one or several images. This is a very hard problem as shape fidelity, animatability, fast computation time and low number of required input
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18 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Mathematics History » History of science
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programs in mathematics, science, education, and engineering. Teaching responsibilities may include calculus, linear algebra, numerical analysis, discrete probability, mathematical modeling, and related
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of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in data monitoring in the context of intelligent systems 3. Work Plan: i) Develop mathematical modeling systems
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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2 Sep 2026 Job Information Organisation/Company Università degli Studi di Brescia Research Field Mathematics » Mathematical analysis Researcher Profile Recognised Researcher (R2) Leading Researcher
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without regard to race, color, religion, sex, age, national origin, disability, or protected veteran status. To apply, please visit: https://jobs.fgcu.edu/jobs/instructor-i-mathematics-fort-myers-florida
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are placed without exposing model or data across trust boundaries, and how orchestration decisions are made auditable. The work extends open-source orchestration platforms and is validated on FNS experimental
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measurements with patient-specific digital twin technology. The doctoral candidate will develop mathematical models that link clinically acquired echocardiographic data to the underlying physiological and