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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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activity in vitro; basic knowledge of bioinformatics, molecular modelling and docking and/or structural analysis of protein–ligand complexes, as well as the ability to use in silico results to guide
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an engineering perspective into a prioritized roadmap. Execute Agentic AI-Driven Technology Testing & EDA: Lead short, hypothesis-driven prototyping and exploratory data analysis (EDA) using real or representative
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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and profile: an MSc degree in the Natural Sciences (e.g. Earth Science, Biology, Ecology, Physics) or Engineering; experience with modelling, quantitative data analysis and programming; strong
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these questions, we combine locally acquired longitudinal neuroimaging and behavioral datasets with the analysis of large-scale, openly available datasets, enabling us to investigate both individual developmental
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Your day-to-day research will move between theory, modelling and real systems. You will build mathematical and physics-based models of complex thermal systems. You will develop reduced order
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
of the Dutch Aviation System Analysis Laboratory. Job requirements The candidate has a MSc degree in Aerospace Engineering, Industrial Engineering, Operations Research, Applied Mathematics, or a related field
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, protein translation, RNA replication, lipid metabolism, replication complex assembly, viral secretion, and innate immune control of infection. Job Summary The Research Technical Assistant will join the
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer