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funded by the Aerospace Technology Institute (ATI). A new exciting position of Senior Research Associate in Aircraft Electrical Systems Modelling and Validation is being created, with the successful
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validation. A hierarchical mathematical model will generate falsifiable predictions to be tested across three platforms: artificial membranes, tissue cultures, and large scale observational models, using
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: comparative omics, genetic diversity analysis, mathematical modelling, machine learning, and the use of model organisms. Develop transferable skills such as scientific communication, project management
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industrial audiences. For informal inquiries, contact Prof. Andy Mills at a.r.mills@sheffield.ac.uk. Please use the following link to apply: https://www.sheffield.ac.uk/postgraduate/phd/apply Funding Notes
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the foundational mathematics and programming skills necessary for creating basic neural networks and deep learning models from the ground up. Additionally, it is designed for those keen on comprehending
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for the environment of a small student-centered university. The successful candidate will have a PhD in Mathematics, Physics or related field or extensive applicable experience and must be able to teach lab-based
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. To the best of our knowledge, there has been very little attempt to address this crucial problem in MT. This PhD proposes to investigate different methods to improve terminology translation in NMT models
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exploration and testing. This research line would be tackled rather quickly by a PhD candidate with a background in applied mathematics for hyperbolic problems, with an expected quick publication outcome
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17 Apr 2026 Job Information Organisation/Company Lodz University of Technology Department Faculty of Technical Physics, Information Technology, and Applied Mathematics, Institute of Physics Research
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mathmetics , Functional Analysis and Applications , Generalized symmetries , Generalized symmetries and their applications in QFT and Quantum Lattice models , Geometry , Math , Mathematical Sciences