223 programming-"Prof"-"Fermilab"-"Washington-University-in-St"-"UCL" Fellowship positions
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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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technology to support all patients with heart failure. Our program is co-directed by Prof Shaun Gregory (Queensland University of Technology) and Prof David Kaye (Monash University). About us QUT is a major
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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
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Campus, North Ryde About the Role This position is part of the John Templeton Foundation's project Cognition All the Way Up. The appointee will work with Dr Bourrat (Philosophy), Prof. Barron (Biological
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The Leibniz-Institute for Prevention Research and Epidemiology, unit of “Implementation Research and Mental Health” led by Prof. Dr. Daniela Fuhr is offering a position as Research Fellow (m/f/d
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features in alloys, to aid future alloy design. The UNSW team, lead by A/Prof Patrick Burr, will provide the modelling contributions, and the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, is in
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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: Develop innovative research programmes aligned with IDAI's research themes Propose, plan, and execute research projects under the IDAI banner Contribute to grant writing and project development to secure
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July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
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the appropriate area. 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