62 programming-"Prof"-"Fermilab"-"Washington-University-in-St"-"UCL" Fellowship positions in United Kingdom
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Chemistry groups led by Prof. Peter Slater, Professor Paul Anderson, and Dr. Phoebe Allan, https://www.birmingham.ac.uk/staff/profiles/chemistry/anderson-paul.aspx https://www.birmingham.ac.uk/staff/profiles
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. The post holder will join the Chemistry groups led by Prof. Peter Slater, Professor Paul Anderson, and Dr. Phoebe Allan, https://www.birmingham.ac.uk/staff/profiles/chemistry/anderson-paul.aspx https
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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Job Purpose To make a contribution to a project working with Prof Lee Cronin. (www.croninlab.com). The researcher(s) will be working in the area broad area of chemical robotics and automated
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qualitative and quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in
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is for a Research Fellow to work part-time (0.6 FTE) until 31/03/2026 with Dr Aylin Ates, Prof Jill MacBryde, Prof Colin Lindsay and Dr Robert Stewart on high impact and research-focused project called
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health