44 big-data-and-machine-learning-phd Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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Energy and Climate Change Division We are seeking a Post-doctoral Research Fellow to work on a variety of projects addressing energy, energy efficiency and relevant data analytics. The post will be
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collaboratively, and who values contributing to a supportive team environment. You will also help train and support researchers and PhD students in this role, so strong communication and mentoring skills will be a
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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their independent learning and thinking skills Recruit and build cohorts of young people to participate in the NxtGen Researchers programme Build strong relationships with schools, local authorities, and third sector
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a powerful tracer of ocean pH. Recent advances we have led apply laser ablation approaches to rapidly yield high spatial (and hence temporal) data in the form of 2D maps of the skeleton. These can
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considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior
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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience
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the new technology works and compares with existing drugs with the aim of improving cancer treatments. You will be motivated, educated to PhD level in a relevant subject area and ideally have practical
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic