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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you a Computer Scientist
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, other research assistants, psychology assistants, project and trial managers, and computer scientists. With a psychology degree (2:1 or above), you will have an interest in the psychological understanding
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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Oxford Net Zero programme. Working with colleagues in the Atmospheric, Oceanic, and Planetary Physics (AOPP) sub-department of the Physics Department and in Engineering Science. You will combine rigorous
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About The Role This is a Fixed Term post until March 2026 working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences
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About us The Photonics Group of the UCL Department of Electronic and Electrical Engineering wishes to appoint a Research Fellow to work in the field of Unlocking scalable quantum computing with
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programme. The particular emphasis of the project will be to examine the interaction between atherosclerotic plaque macrophages and neutrophil extracellular traps and how it impacts cellular function and
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low