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, applied mathematics, machine learning, data science, or a closely related discipline, with demonstrable expertise in artificial intelligence or data-driven systems. Knowledge and proven experience in
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at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems. For this, we apply a combination of methods from both Mathematics and Physics, complemented by concepts
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available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
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Applications are invited for a Research and Innovation Associate in the atomic astrophysics group, Department of Applied Mathematics and Theoretical Physics, University of Cambridge. The successful
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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experimentally investigated. About you You should possess a PhD or DPhil (or be near completion of) in the field of engineering, physics or applied mathematics together with relevant experience in the field
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an available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, epidemiology, engineering, statistics and applied mathematics with experience and
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form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism
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Position: Postdoctoral Research Associate in Mathematical Physics Salary: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers