52 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in
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experience in Acoustics, Mechanical Engineering, Physics, Signal Processing or a closely related discipline. Strong practical experience in experimental acoustics/instrumentation (sensor selection, data
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travel. Publish findings in high-impact journals and present at international conferences. Requirements: PhD or equivalent qualifications and experience in Analytical Chemistry, Chemical Engineering
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project team working on a range of topics in the field of high-power lasers. Applicants should have a PhD (or equivalent professional qualifications and experience) in Physics, Engineering or a related
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About the Role We are seeking to recruit a Research Fellow in Climate Dynamics to become a member of the School of Ocean and Earth Science at the University of Southampton . The successful candidate
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engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational Biology, Biomedical Engineering, or a
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diagnostics and build your growing research profile. Collaborate closely across disciplines, including genomics, clinical medicine, statistics, software engineering, and compute infrastructure to co‑create
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present your work at international conferences About you A PhD* or equivalent qualification/experience in Computer Science, NLP, AI, or a related field. Strong experience in natural language processing
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research environment spanning engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational
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well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The