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Field
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a collaboration between Inria and Mitsubishi Electric R&D Centre Europe (MERCE) within the FRAIME project on artificial intelligence and formal methods. The project explores, on the one hand, how
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focused on integrating generative AI (e.g., LLMs) with symbolic reasoning, where the latter can verify the output of the former is compliant with explicit and formal system constraints. The position is
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propose to combine machine learning techniques with formal methods. We will focus on safe reinforcement learning of motion planning problems for autonomous vessels. Motion planning is particularly
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research. Within this project, the postdoctoral researcher will assume a central role in the empirical implementation. The successful candidate will join the research group on non-formal education at
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will join the research group on non-formal education at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY is a multidisciplinary research centre
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, incorporating insights from the philosophy of language, the cognitive language sciences, linguistic pragmatics, and formal logic / epistemology. The main task of the post-doctoral researcher is to contribute to a
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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tracking). Comfortable using Linux based HPC systems. Model order reduction, particularly proper orthogonal decomposition (POD) techniques. As a formal qualification, you must hold a PhD degree (or
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(R1) Positions PhD Positions Country Portugal Application Deadline 15 Oct 2025 - 23:00 (Europe/Lisbon) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Is the job funded through the EU