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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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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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Required Department Minimum Qualifications: Ph.D. in computer science, medical, health informatics, or other related field. Candidates will need to have completed their PhD or have it completed by the start
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, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can
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, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning