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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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. The post is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is fixed term to 30 November 2027. The research project will employ cutting-edge experimental methodologies
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the Engineering and Physical Sciences Research Council (EPSRC) and is fixed term to 30 November 2027. The research project will employ cutting-edge experimental methodologies to elucidate the pathways for human
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methodologies, particularly Hierarchical Re-inforcement Learning (HRL), to effectively navigate the complex state spaces inherent in SoC vulnerability assessment. The objective of this position is to build upon
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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simulations and with physical drones in mock search-and-rescue missions. This position will involve close collaboration with the PhD student at SDU who is developing technical building blocks that can support
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2 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Environmental science Geosciences Researcher Profile Recognised Researcher (R2) First
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4 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Combustion, Aérothermique, Réactivité et Environnement Research Field Engineering Chemistry Physics Researcher Profile
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these methods to complex heterogeneous semiconductors. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential. Applicants should be
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
the interpretability, generalization, and physical consistency of machine learning models for PDEs. Exploring how data-driven methods can accelerate simulations and improve prediction in complex turbulent systems. Your