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processing large amounts of information. For students identified by the system as being totally non engaged, you will also be required to work across multiple platforms and systems to check other sources
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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-Access database of information. They will practically contribute to ongoing activities across many methodologies (e.g. antimicrobial sensitivity testing, PCR, cell culture, flow cytometry, ELISA and
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responsible for data/image acquisition, analysis and interpretation and for using this information to design efficient heterogeneous photocatalytic processes. This will involve working on the synthesis and
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post. Further information about our School and working here . We are committed to a Strategic Delivery Plan for Equality, Diversity and Inclusion (EDI) and we warmly welcome applications from under
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information about our work is available at https://www.nottingham.ac.uk/research/groups/low-carbon-energy-and-resources-technologies-research-group/research/microwave-processing/microwave-processing.aspx
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the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. Please contact Mohammad Reza Ilkhani ezzmi1@exmail.nottingham.ac.uk for further information and an
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discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website What next Further information is available in the role profile. To apply
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completion of, a Ph.D. in astrophysics or a closely related subject area, and have a research track record in astrophysics and experience processing astronomy data (simulation or observational). As part of our
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experience of supporting students. What next: Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Please contact the Directors