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an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex
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assessment based on electrochemical impedance spectroscopy complemented with microscopic studies. (4) to create a set of guidelines to better select corrosion resistant alloys for sCO2. (5) To investigate
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, with a potential second-year renewal, and will involve work on theoretical and empirical research related to behavioral economics, decision making, household finance, and health behaviors. The research
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committee: the first week of October 3) Interviews : October 16 & early November 4) Final decision: end of November 5) Feedback to all applicants: end of November Contact details for enquiries: Prof. Mathieu
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days ago
29 Aug 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Civil engineering
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out wet lab work which will feed and support your in silico research, and will be supervised by Prof. Spits – an expert in aneuploidy in early development – and bioinformatician Prof. Olsen. You’ll have
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adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
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classifications. 17. The jury's final decision shall be approved by the head of the institution, who shall also decide on the hiring. 18. Formalization of applications: 18.1 Applications must be formalized
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create