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The School of Informatics, University of Edinburgh invites applications for a postdoc to undertake novel research at the intersection of computer vision and machine learning. The candidate will be
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Deadline for applications: 15th of April 2024 (or until the position if filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University
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Full Time: 35 hours per week Fixed term contract duration: 12 months from August 2024 5 posts available We are looking for five candidates to join our team of Small Animal Rotating Interns. The opportunity: Based within the Hospital for Small Animals at Easter Bush Campus, Midlothian, this...
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an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject
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University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject line '[PhD-Sim4Conv] - [Your Name] - [Your Current
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Deadline: 19th April 2024 (or until position is filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled
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). The ideal candidate will be interested in fluid dynamics, reacting flows, and laser diagnostics and have programming experience in at least one language (e.g., Python, MATLAB, etc.). The selection process
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. Digital/IT skills. Your application must include a CV and Supporting Statement in which you identify the Thematic Hub(s) you are applying for. The University of Edinburgh is a charitable body, registered in
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offer, however please note that some on campus working is required. Your skills and attributes for success: PhD in Linguistics or a related discipline (completed, or submitted and awaiting examination
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-pilot projects funded by abrdn via the University of Edinburgh, Centre of Investing Innovation The Opportunity: Conduct original research to create a statistical framework that integrates with a large