31 data-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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theoretical areas including statistical physics, condensed matter theory, computational physics, quantum information, and machine learning. We seek motivated, skilled and highly independent researchers
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infectious aerosols in buildings (ASHRAE Standard 241). The work involves analysis, simulation, and integration of real-world data into risk models that directly inform how buildings are designed and operated
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subject area, with a major component in electrical machine design or analysis. More information is available on the Role Profile below. What we Offer Our full list of our benefits can be found here . What
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review, law and policy analysis, secondary data analysis, key informant interviews and participatory Photovoice and Q Study workshops. The role holder will work with the Project Lead, Dr Lauren Eglen, and
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searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty analysis. This role offers a rare opportunity to bridge public health and building science
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with applications to real clinical data. The project involves close collaboration with partners at City St. George’s, University of London, University of Cambridge and University College London. We believe
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to data analysis, and contribute to the objectives of the STFC Gravitational Wave Consolidated Grant “Precision Gravity With LIGO-Virgo-Karga” (PI: T Sotiriou, Co-Is: M Bezares, S Green, L Sberna) and/or
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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intramuscular EMG, fMRI and MRS. Contributing to advanced signal and imaging analysis (HD-EMG/EEG, (f)MRI, MR Spectroscopy Supporting data analysis, manuscript preparation, and presentation of findings. You will