51 web-programmer-developer-"St"-"UCL"-"St" Fellowship positions at University of Birmingham
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July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
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independently and as part of a team on research programmes Adept at analysing and interpreting data Able to apply knowledge in a way which develops new intellectual understanding Excellent interpersonal and
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propose and develop projects, write bids, and help coordinate and research efforts with impact. Role Summary BISCA is seeking an early career, postdoctoral researcher who has a strong desire to engage with
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closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical expertise in immunology
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Trust and will work closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical
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://www.birmingham.ac.uk/staff/profiles/chemistry/slater-peter.aspx https://www.birmingham.ac.uk/staff/profiles/chemistry/allan-phoebe.aspx and will work on the development of recycling strategies for Li ion battery
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Resonance (NMR) Experience with experimental NMR techniques and methods for imaging and spectroscopy and an ability to contribute to developing new methods Experience in pulse programme design desirable
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at 0.5fte for the final six months of the post. Across these two projects, the Research Fellow will collect objective and subjective sleep data from children with neurogenetic syndromes and develop and
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised
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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models