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Researchers (ECRs) have completed or are close to completion of their PhD, potentially waiting for their final viva voce examination, which must be passed prior to taking up the award. ECRs will not have held a
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, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular interactions, supporting the design
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systems, biomolecular interfaces, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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present your work at international conferences About you A PhD* or equivalent qualification/experience in Computer Science, NLP, AI, or a related field. Strong experience in natural language processing
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the two-micron wavelength band to the kilowatt regime motivated by the needs of applications such as industrial laser processing. The project will involve close collaboration with other members of the HiPPo
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System Models) to isolate and evaluate the role of individual processes. You will also assess how climate variability and extremes, including changes in the probability of high-impact events, are altered
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well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The
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-textiles/Wearables. To be successful with your application, you will need to demonstrate: A PhD or equivalent in an appropriate area related the role. A strong background in knit for E-textiles/Wearables
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Optoelectronics Research Centre (www.southampton.ac.uk/about/faculties-schools-departments/optoelectronics-research-centre ) in a project team of currently nine Research Fellows and a similar number of PhD students