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models of therapeutic response using machine learning combined with Fourier-Transform Infrared Spectroscopy (FTIR) applied to blood, saliva, and tumor tissue samples. Requirements: PhD completed by
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Job Description Position Details Department of Microbes, Infection and Microbiomes, School of Infection, Inflammation and Immunology, College of Medicine and Health Location: University
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project, so it promises to be a very exciting time to join our team! Successful candidates will have a PhD degree in a relevant field, expertise in processing and modelling geodetic data using open-source
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and
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discussion or to arrange a visit, please contact Prof Francesco Forconi f.forconi@soton.ac.uk and/or Prof Mark Cragg msc@soton.ac.uk Applications for Research Fellow positions will be considered from
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. The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 15 days ago
not to fill the place in the competition, if it deems that there are no candidates who meet its requirements. 11. Composition of the evaluation panel: Prof. Dr. Teresa Pereira (President), Dr. Eduardo
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To join the Airway Innate Immunity Research group led by Prof Cliff Taggart at the Wellcome-Wolfson institute for Experimental Medicine. This MRC-funded position will involve the evaluation of a
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this will involve the development of novel ML/DL methods which leverage both computational and experimental data. Candidates should also have experience of numerical modelling (e.g. CFD and FEA), working as