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to design, develop, and apply state-of-the-art machine learning techniques, including vision transformers (ViTs), graph neural networks (GNNs), and vision-language models (VLMs). You will work on multimodal
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of students’ academic and professional abilities. We are looking for someone with a sound understanding of pedagogical theory and evidence, who is keen to apply their experience creating e-learning
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the Department of Mathematics is at the international forefront of research in string and M-theory, black holes, conformal field theory, supersymmetry, integrability, and other fundamental branches of modern
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from candidates whose research and teaching will contribute to and expand our coverage of theories and models of foreign policy decision-making and contemporary foreign policy issues. The Department has
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-scale neural network simulations 5. Experience with analysing large-scale neural recordings 6. Familiarity with neuroanatomy and neurophysiology 7. Knowledge of dynamical systems theory 8
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in a specialist area of clinical practice). Registered with HPC as a Practitioner Psychologist and evidence of continued professional development Knowledge of the theory and practice of specialized
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detailed histology knowledge and experience to rapidly identify and rectify technical and processing issues. As part of the role, you will also train others on use of equipment and theory of the techniques
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skills in communicating with patients and colleagues Practical experience in undergraduate medical education demonstrating an understanding of pedagogical principles and learning theories Skilled in giving
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: Essential criteria PhD qualified in relevant subject area (Immunology, Biophysics, Biochemistry, etc) * Expertise in biomechanics, both the theory and methods Expertise in T cell biology, immunology, cancer
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mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research Centre (NIHR Maudsley BRC) supporting