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marginal structural models will be extended with machine learning techniques for counterfactual prediction and to support sensitivity analyses Candidate The studentship is suited to a candidate with a strong
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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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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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synthesised and analysed to research and address slavery in war? By working across the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that
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. • Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives. • Participate fully in assessment and examination processes as
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to have the following skills and experience: Essential criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis
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experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised
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. Department: Department of Population Health Sciences. Contact details:Professor Josip Car. josip.car@kcl.ac.uk Location: Guy's Campus. Category: Professional & Support Services. About Us The School of Life
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as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human