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be made for candidates who demonstrate exceptional skills and experience relevant to the role. Post Type Full Time Hours per Week 35 Weeks per Year 52 Closing Date 23.59 hours BST on Tuesday 20 October
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to analyze, publish, and present research data Self-motivation, ability to work both independently and collaboratively as a team. Ability to manage time and organization on multiple projects Preferred
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data sets. • Use AI/ML concepts and development to analyze observational data. • Produce peer-reviewed manuscripts. • Present the results at conferences. • Run and analyze a high-level numerical model
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. The incumbent will also present data in scientific conferences and meetings, attend and present in lab meetings and data clubs. The fellow will receive mentorship to create and implement their own individual
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property data Perform characterization activities within a radiological laboratory. Participate in the development of new ideas and projects. Present and report research results and publish scientific
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. Additionally, you will collaborate in the preparation of scientific reports and journal articles and present papers and posters. About You You will hold, or be close to completion of, a PhD/DPhil in a biomedical
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computational scientist eager to demonstrate, quantitatively, that AI can drive scientific discovery faster than pure human iteration. This position has an anticipated start date of November 1, 2026. We’re here
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to enhancing the quality of the research environment LCAL and the Law School, the wider University and beyond through collaborative research activity; Demonstrate a willingness to contribute to
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framework 3) to develop a minimum viable digital platform prototype to demonstrate scalable CDT delivery. The successful candidate must be able to demonstrate at least one of the following: a PhD degree
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execution Analyze and interpret experimental results Write scientific articles for publication in peer-reviewed journals Present at international conferences Profile A PhD degree in the fields of chemistry or