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Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)." The project focuses on cutting-edge research into the growth, characterisation, and application of high-performance two-dimensional (2D
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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Engineering or related area. You should have expertise in computational-modelling, analysis, and high-performance computing, with proficiency in CFD, fluid-structure-interaction and programming. Experience in
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transcriptomics and high-dimensional tissue imaging, run CRISPR-based perturbation assays and functional assays to reveal mechanistic insights and work closely with computational and clinical fellows in a highly
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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and Hypertension (SLASH). This project brings together expert academic teams and wider stakeholders to develop policy interventions to reduce salt intake to prevent high blood pressure, heart disease
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innovative problem-solving. The position requires maintaining a high standard of research, presenting findings at leading international conferences, and publishing in high-impact journals. About You The
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying