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the partnership, the Associate will develop the ability to: (i) model and predict fluid flow and system performance for large-scale systems; (ii) assess how different types of fouling may affect the membranes and
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Training PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Demonstrated commitment to ongoing
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mentor if required. Contribute to writing bids for funding. Person Specification Essential: A PhD in Health Economics or a relevant economics, health care or social sciences field. Experience
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-pharma, and AI developers of clinical applications, in enterprises, growth companies, and research organisations. PharosAI will revolutionise AI-powered cancer care, driving breakthrough therapies
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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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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute
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session at the University’s Exchange building, in Centenary Square, Birmingham, between 10am and 5pm on Friday 6th June 2025. If you’re interested in working at the University of Birmingham and perhaps have
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Electrical/Electronic/Photonic/Optical Engineering, Physics, or a related discipline. • Demonstrated ability to deliver results, evidenced by academic publications or successful commercialisation