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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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Northumbria University, will allow you to use both qualitative theory-driven evaluation skills and quantitative economic evaluation skills to examine the distribution of costs and benefits from these movements
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submission) in Philosophy, Applied Philosophy, Political Philosophy, Ethics, Bioethics, Feminist Theory, Law or a relevant discipline. Prior research experience e.g., as a research assistant or associate
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helps us question theories and improve our understanding, lending itself to better solutions. Willingness to share your insights is crucial to achieving a vibrant and creative research environment
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adaptive trials, stepped wedge trials and cluster trials. You will have good knowledge of applied statistics and statistical theory, especially for pragmatic trials and complex randomisation systems. You
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) in one or more of the following areas: Quantum machine learning, Quantum algorithms, Quantum information theory or Theoretical Physics Essential criteria: Proficiency in at least one programming
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PhD in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Biomedical Engineering, Mathematics, Physics, Computational Mechanics/Engineering or related discipline. (Thesis submitted by
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machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
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About us The Research Department of Structural and Molecular Biology (SMB) is a world leading academic centre that promotes multi-disciplinary research at the interface of structural, computational and chemical biology, pioneering multi-disciplinary approaches aimed to bridge across the scales...