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Supervisory Team: Dr Susmita Naskar, Dr Tanmoy Mukhopadhyay Project description: This PhD studentship will involve a combination of computational and experimental work, providing the students with
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Apply online: Search for a Postgraduate Programme of Study (soton.ac.uk) . Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Physics (Full time
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AHRC Collaborative Doctoral Partnership Applications are invited for a PhD studentship, to be undertaken at Cranfield University (CU, Defence Chemistry Department) and the National Archives (TNA
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the REF 2021, meaning it is classed as world-leading or internationally excellent. We are rated as 8th nationally for the quality of our research environment, showing that the Department of Computer Science
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Interdisciplinary Computing and Complex BioSystems (ICOS) research group within Newcastle University’s School of Computing. Our mission is to carry out ground-breaking research at the interface of computing science
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Engineering, Physical Science, Mathematics, Computer Sciences, Physical Geography or a related subject. • Good level of written and oral communication skills, as appropriate for disseminating research and
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) research programme intended to develop generation-after-next-technologies for applications in defence and security. The project will be supervised by Prof Johan Nilsson ([email protected] ) and Dr William
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of these complex, multi-omic single cell and spatial transcriptomics datasets and is therefore ideal for those with an interest in computational biology, bioinformatics, computer sciences and/or genomics
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of the UK. Eligibility Applicants should have or expect to achieve at least a 2.1 honours degree in engineering or computer science or an MSc qualification in Robotics, Electrical & Electronic Engineering
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an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered. Subject Area Artificial Intelligence, Computer Vision