407 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"EURAXESS" Postdoctoral positions in United Kingdom
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& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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would be advantageous. The post holder will work in a collegial, multidisciplinary, and interactive team. The candidate will assist in the supervision of students, deliver seminars, and be involved in
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background in proteomics. Experiences in bioengineering is not essential but would be advantageous. The post holder will work in a collegial, multidisciplinary, and interactive team. The candidate will assist
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Professor Dario Farina, in the Department of Bioengineering at Imperial College London. The focus of the research will be on the development of soft actuators, from material and structural perspectives, with
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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opportunities. We provide wide-ranging health and wellbeing support including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high