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in core machine learning theory—including statistics, optimization, and linear algebra—is desirable. The ideal candidate will have a proven ability to independently develop and execute research plans
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publications in top journals (or conferences) in one or more of the following areas: Quantum machine learning, Quantum algorithms , Quantum information theory or Theoretical Physics Essential criteria
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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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include density functional theory (DFT) and higher level methods to accurately screen new systems based on their optoelectronic and vibrational properties. The role holder will develop and apply
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include density functional theory (DFT) and higher level methods to accurately screen new systems based on their optoelectronic and vibrational properties. The role holder will develop and apply
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or applying evidence, theories and techniques of behaviour change. Experience in carrying out qualitative and quantitative behavioural science research. Excellent scientific writing skills, with a peer-reviewed
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We are looking for a researcher, whose expertise lies in Number Theory and Modular Forms, to work with Dr. Fredrik Stromberg, on an EPSRC-funded project entitled “Explicit Methods for non
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Fellow will assist the Principal Investigator, Wellcome Trust Fellow Dr. Elisabeth Yang , in bringing the gap between theory and practice whilst gaining essential skills, experience, and mentoring in
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Fellow will assist the Principal Investigator, Wellcome Trust Fellow Dr. Elisabeth Yang , in bringing the gap between theory and practice whilst gaining essential skills, experience, and mentoring in
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of Ecosystem Restoration (2021-2030); A good understanding of micro-economic theory, welfare economics and econometric methods. Strong background in applied micro-econometrics; Experience applying econometric