13 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"Study-Group"-"Dr" "The University of Edinburgh" Fellowship positions
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score matching. Other relevant analytical skills in advanced data wrangling and programming skills. Good programming skills in Stata or R. Proven ability to meet milestones according to project timelines.
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Full time: 35hrs per week Fixed Term: Available from 1 March 2026 – 31 August 2028 The Opportunity: The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is
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. Understanding and application of the science underpinning magnetic resonance imaging and spectroscopy Strong numerical and programming skills Communication and ability to build effective working relationships
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Full-time: 35 hours per week Fixed-term: for up to 3 years The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI
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research centre at the University of Edinburgh. The programme aims to build on the principles of research excellence and mentorship developed during the successful ECAT Wellcome Clinical PhD Programme, with
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Full-time: 35 hours per week Fixed-term: for up to 3 years The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI
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experience in in vivo large-scale two-photon calcium imaging Programming skills, Matlab, (and/or Python) Ability to communicate complex information clearly, orally and in writing Experience in
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Full-time: 35 hours per week Fixed-term: for up to 3 years The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI
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in partnership with the National High Magnetic Field Laboratory in Florida, the University of Edinburgh, and Seagate Technology. About you Applicants should hold a relevant PhD in Physics
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to hold current registration with the General Medical Council. The post will support an experimental medicine study initiated by a Wellcome grant award hosted by the University of Edinburgh and embedded