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models of glioblastoma. Key Requirements The successful candidate must have a PhD in chemical or biomedical science (or relevant field). Advanced knowledge in radiolabelling of monoclonal antibodies and
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marine models in cell biology. Applicants should have an excellent track record of research and publications commensurate with their career stage. They should have a clear ambition to establish a research
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to undertake world-leading research in the design, integration and Edge-implementation/testing of multimodal machine learning models. Your experience in real-time implementation of federated AI and Edge-based
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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
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Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial Optimisation Commitment to Diversity The University
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to apply To apply, please download a copy of the application form at the bottom of this screen. Once you have completed the form, click the Apply Now button at the side of your screen and upload a copy of
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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experience). Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom
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intended for individuals returning to research that is aligned with (but not limited to) any of the following research themes: Engineering design: Human Factors Engineering design: Simulation (FEA/CFD
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or distinctions Postdoctoral research experience in an internationally renowned laboratory (we would normally expect at least 3 years postdoctoral experience). Downloading a copy of our Job Description Full details