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of the Principal Investigator and Director of LISA, with a view to developing LISA's research capacity in AI-augmented spatial analysis. The Fellow is expected to lead the development and application of machine
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from two cruises in 2025. The successful candidate will have the opportunity to participate in data acquisition at sea. The position is based in the School of Ocean and Earth Science, which is located
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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genetic events with PRMT5 inhibitors in Ewing sarcoma, focusing on the DNA damage response and splicing. We require a highly motivated and organised individual that is willing to meet deadlines. Principal
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and networks Help with training Master and PhD students and other group members who are working on similar areas Supervise student's projects at both undergraduate and postgraduate levels Person
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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, perform and supervise research projects and collect data in agreed areas to a high level of competency and quality Take part in collaborative research projects within and outside the group Project manage
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to help develop new techniques within the laboratory, help supervise project/undergraduate students, and present their data regularly at internal lab meetings and external conferences. All applicants should