18 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Durham University
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researchers to join a dynamic team working on an EPSRC-funded project, focused on both catalytic ammonia combustion and optimal design of innovative catalytic burners for real-world industry applications. As a
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the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems involving different decarbonisation technologies, as well as the development of AI-driven decision
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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THz Node, and the Durham Smart Grid Laboratory. Currently, the group has over 20 researchers and is a leading research facility that brings together advanced simulation tools, realistic emulators, and
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• Experience with super conducting microwave circuit design of fabrication • Experience of materials and/or device modelling software • Knowledge of Labview and/or Python software. How
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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University Guide 2024, and ranked 4th for impact in REF 2021. Due to the reach and scope of the Contextual Safeguarding programme most team members work to a hybrid working model, with research underway in
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, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate