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Field
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advanced computational methods can be used to investigate the evolution of magnetic fields in neutron stars? Would you like to feel part of a strong supportive group at the University of Leeds? We
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purposes. We are looking for a confident, organised researcher who can evidence: • A PhD, or equivalent in mathematics, theoretical physics or a relevant branch of engineering. • OR near to completion
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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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engineering or a related discipline. Strong analytical, problem-solving, communication, and teamworking skills, along with experience in computational modelling are essential for the role. What we offer: - A
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motivated Research Fellow with a strong background in statistical genetics and/or computational biology to join our team. The successful applicant will lead a cutting-edge research programme which aims
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research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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a strong background in behavioural science or experimental/behavioural economics, and/or social or organisational psychology, experience with experimental methods and platforms (online experiments
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Intervention Responsive Studies Team (PHIRST) Fusion, funded by the National Institute for Health Research (NIHR), Public Health Research (PHR) Programme. You will perform the role of Knowledge Exchange Broker
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Represent IMPACT externally and deputise for the Delivery Leads when needed Any other duties commensurate with grade of post Essential Criteria Qualifications PhD in a relevant discipline (or extensive