79 parallel-computing-numerical-methods positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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methods is also desired. In our study we are investigating whether it is possible to predict how many nurses are needed on hospital wards from routinely collected data. You will have an interest in
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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full programme of events, and access to a number of University employee-discount schemes. Further information about working at the University of Southampton can be found on our web site: https
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research program is dedicated to the development of novel antibody-based therapeutics for the treatment of cancer and autoimmunity. This research has led to several therapeutics that are currently in
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be successful in the role you will have, or will be close to completing, a PhD (or equivalent professional qualifications) with strong qualitative research methods skills in a relevant discipline (e.g
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for impactful research in the economics of migration, networks, education, crime, and inequality. We are also leaders in developing and applying cutting-edge macroeconomic, experimental, and econometric methods
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methods (statistics, ML, AI) with applications to energy and built environment problems and programming languages e.g. Python, R, Matlab, C# etc applied at highlighted scales. About you We welcome
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trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
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. Their interdisciplinary research program is dedicated to the use of protein engineering to develop novel antibody-based therapeutics that has led to several therapeutics that are currently approved for clinical use or in
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(or be close to completing one) with strong quantitative and computational skills in high-performance computing environments. Your expertise should be in one or more of the following areas: hydrological