19 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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cultural and area studies linked to the languages taught in the department including French, Spanish, German and Portuguese. The advertised role is a fixed-term 12-month research-only position supporting
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We are hiring a Research Fellow to join an interdisciplinary team of genomic informaticians, clinicians, bioinformaticians, and clinical data scientists working at the forefront of genomic data
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, pressure gradient, surface textures etc) Develop relevant new diagnostic techniques to access new aspects of the flow Analyse data and develop new data-driven models that can be used for predictions Publish
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of EEG and hyperscanning paradigms for the project. Key activities will include developing and refining experimental tasks, preparing EEG protocols, supporting EEG data collection, developing preprocessing
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in Spain, identify and transcribe early modern Spanish manuscript sources, and extract and structure historical information for incorporation into the project's integrated digital database. You will
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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fluorescence- or luminescence-based readouts would be desired. You should be confident analysing quantitative experimental data, including concentration–response experiments, EC50 determination and statistical
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of Liverpool, University of Southampton and University of Surrey. In addition to cutting edge research, training and networking activities are provided to nurture the development of ECRs. Further information
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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collaborate nationally through BioFAIR project and ELIXIR-UK Southampton Node. About you: You will have a quantitative or RSE background and an interest in applying computational and data-driven methods