93 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions at University of Nottingham
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significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent
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unique combined system using an optimised AF scanning procedure that integrates Raman measurements to analyse lymph node biopsies within 10 minutes and machine learning algorithms to deliver quantitative
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and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre at the Nottingham Breast
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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, alongside a group of clinical research fellows and non-clinical PhD students training in respiratory medicine. You must have practical experience of data analysis using CPRD or equivalent primary care
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researchers and senior academic staff within the academic respiratory medicine department, alongside a group of clinical research fellows and non-clinical PhD students training in respiratory medicine. You must
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, during, and after brain stimulation. You must have been awarded a PhD, or have a PhD thesis about to be submitted, in STEM or related subjects; prior experience in the neurosciences is highly desirable
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. The novel sensors will be used to monitor strains during temperature-controlled curing and load testing to determine capacity and failure modes. Candidates must have a PhD awarded or submitted in Civil
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applications to both external and/or internal bodies for funding, contractual or accreditation purposes. We are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in mathematics
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of research and industry to pursue clinical translation of this new material. Candidates should hold (or be near completion of) a PhD in Biomaterial Science and Tissue Engineering, or a closely related field