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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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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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instruction or plan/ deliver seminars relating to the research area. The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area, and have experience in
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on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctorate/PhD degree in statistics, mathematics or a closely related discipline (completed
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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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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Job Purpose To contribute to / make a leading contribution to the EPSRC UK Hub for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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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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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research