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-driven ML methods. Applicants should have, or expect to achieve, at least a first honours degree or a master’s with distinction (or international equivalent) in a relevant science or engineering related
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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
to: Informal enquiries about the project can be made to Georgios Giamas g.giamas@sussex.ac.uk and Erika Mancini Erika.mancini@sussex.ac.uk How to apply: Please submit a formal application using the online
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with UKAEA, providing opportunities for engagement with leading fusion research facilities. Together, they offer a wealth of experience in integrating simulation and experimental methods to solve real
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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on the research topic and relevant methods. By the second half, the candidate will take on a leading role and begin carrying out the research comprising their doctoral dissertation. The candidate is expected
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development and refinement accordingly. We are looking for a highly organised, driven, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods
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given a verbal offer and once it has been accepted, will be sent a formal offer letter and, in due course, a registration pack with joining information. Unsuccessful candidates will be contacted with
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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multivariable statistical methods. Support for skills development is provided within the Horse Microbiome Research Group and the university’s Doctoral College . Delivery of this project in collaboration with
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as structural members when deployed make a good basis for a deployable structure. The two main aims of this project are to develop novel designs and manufacturing methods for foldable composite