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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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the application form, which is limited in the number of characters it will allow.) Interviews: 4th and 5th of August 2025. About you The successful candidate must hold a PhD in mathematics or computational biology
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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role The role involves undertaking high quality research as part of an exciting new internationally funded research project investigating the neural and computational basis of anergia and effort
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at national and international conferences. The project is based around constructing physics-informed neural networks (PINNs) to model the fluid dynamics of Earth’s core where the global magnetic field is
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Language Sciences. The lab comprises of a team of researchers and PhD students led by Prof Ayelet N. Landau. We research the psychological and neural mechanisms of attention, time perception with a specific
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extension. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation