31 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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strategies. Experience with qualitative research collection and analysis techniques, including at least one of the following: conducting data collection interviews, workshops, and/or textual analysis, is
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We are looking for a highly motivated post-doctoral researcher to work on the data searching, processing, management, and qualitative analysis of data sources related to forced labour risk and
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and contribute to the achievement of specific research objectives. For more information, please refer to the role profile. Requests for secondment from internal candidates may be considered on the basis
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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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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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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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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