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geometry modelling, finite element simulation, optimisation, and will explore the opportunities for AI to enhance the digital design process. The role holders will carry out analyses, critical evaluations
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modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to drive
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IF or CORE A*/A conference paper. Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground robot that needs to be aware of its
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 26 days ago
the machine learning community as challenging, high-dimensional testbeds. Notably, the recently developed WOFOSTGym simulator \cite{solow2025wofostgym}, bridging crop modeling and RL, received the Outstanding
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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to the development of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of advanced CFD models in OpenFOAM for the simulation of next
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principles with data-driven modeling for thermal and mechanical simulations in metal additive manufacturing. Candidates will design, implement, and validate PIML models that can accurately capture process
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with the Agroecosystems Modeling Team to collect, simulate, and analyze agroecological data for peer-reviewed publication. Prospective applicants should demonstrate a strong history of publications and