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researchers, clinicians, AI specialists and technical experts to enhance data platforms, modelling capability and analytical approaches. Provide specialist technical expertise, contribute to multidisciplinary
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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Qualifications / Discipline: A Ph.D. from a reputable university (or have the PhD conferred by the time the appointment commences) in environmental science, forest ecology or plant physiology
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that can be targeted to preserve functional beta-cell mass and prevent disease progression. The lab integrates innovative genetic mouse models, human islets and pancreas slices, advanced imaging, and
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strong team dedicated to pioneering innovative experimental and modeling techniques that bridge the gap between laboratory-scale physics and field-scale implementation. Our mission centers on developing
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assessment and response model for use in social care, including: Undertake background literature reviews Coordinate face-to-face workshops and online surveys with a diverse range of stakeholders Support the
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worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term contract Fixed Term Period: For 18 months Salary: Full time starting salary (if PhD is obtained) is normally in
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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research
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learning and multimodal AI systems. Develop novel attack, detection and defence techniques for adversarial examples, model vulnerabilities and jailbreak attempts. Design and implement research prototypes
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of the external grids Establish a stochastic differential algebraic equation (SDAE) based analytic framework for interdependent electromechanical and electromagnetic dynamics modelling and analysis Design data