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Field
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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in symplectic topology, mirror symmetry, geometric topology, dynamical systems, algebraic geometry, number theory, and mathematical aspects of quantum field and string theory. IBS-CGP is located
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with practitioners. This PhD research offers an excellent opportunity to advance both the theory and practice of adaptive reuse while contributing to more sustainable and efficient use of buildings
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two main objectives: (i) establishing a theory–experiment feedback loop to identify the fundamental mechanisms governing multicellular self-organization, and (ii) developing a novel imaging platform
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
background in state-space modeling and control theory. Strong programming skills in C++, Python and/or MATLAB. Interest in both theoretical research and experimental validation. Good written and spoken English
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of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific
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case-survey method enables rigorous large-N cross-case comparison, preserving contextual depth. GAPS will generate the first global, theory-driven evidence base on participatory sustainability governance
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(including post-enslavement life-writing and the “slave narrative” genre; the legacies of enslavement in fiction and the transatlantic literary traditions; and critical theories of race and racialisation
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. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
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publications; ability to combine theory, implementation and evaluation; and meet Durham’s English language requirements. Experience in robotics, RL, foundation/vision-language models or efficient inference is