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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to
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the performance of the above model and sensor fusion algorithm when considering different sensor parameters and configurations Work within specified research grants and projects Operate within area of specialism
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understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD/MSc students where appropriate to the discipline Develop
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected
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knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD
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interpretation of spectroscopic observations Analysing and interpreting research findings and results Publishing results and presenting them at conferences Role requirements include: PhD in astrophysics/astronomy
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knowledge in a way which develops new intellectual understanding Disseminate research findings at progress review meetings with project supervisors and project partners Supervise Masters and PhD students
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collaboration with Public Health England (PHE) at Porton Down. You will be a trustworthy, conscientious, innovative experimental scientist who has successfully completed a PhD in Materials Science, Chemistry
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental