65 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham
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CRISPR-CAS9 gene editing using rodent malaria parasites, cutting edge cell biology, phosphorylation assay and phosphor-proteomics. Candidates must hold a PhD, (awarded or pending) or equivalent in a
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recruitment process and have published Candidate Guidance for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits website to learn
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system performance and confidence Analysing justice reliance responses in household surveys Reviewing and analysing existing evidence (academic and grey literature) and data Contributing to workshops
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We are seeking to recruit a highly motivated Research Associate/Fellow to work with our lithium-sulfur battery team. Candidates must have (or almost completed) a PhD in physical chemistry, synthetic
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, researchers and other administrators. For further details visit www.nottingham.ac.uk/dermatology . You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR
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Guidance for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits website to learn what we can offer you. We welcome applications
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of the project covers the 13 OECD countries over an 18-month period (1 January 2020-30 June 2021). The work will consist of: gathering and compiling data on central and regional government policies in the fields
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in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse qualitative data
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-thinking global campuses. An ever changing world where open minds and diverse cultures are able to learn, challenge and create. The success of our university is down to our amazing people and at Nottingham
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candidate will be responsible for the design, development, and execution of experiments, as well as data analysis and interpretation. This will involve using and adapting existing software, and developing new