41 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Leeds
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Do you want the opportunity to lead innovation-led growth programmes connecting researchers, entrepreneurs, industry, and investors? Are you an experienced programme and partnership leader with
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clot contraction, blood flow, and thrombus stability across biological scales. Research Programme Description ThromboRisk – European Doctoral Network From cells to systems: Pioneering multi-level
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. You will join the vibrant Integrated Academic Training programme at Leeds which provides a supportive research environment to develop independent, novel research alongside your clinical practice
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conducting a programme of experiments in this area while liaising with clinical and academic staff, you will also have responsibility for the day-to-day line management of technical staff within the team. You
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the on-campus venues and producers to support us in promoting an exciting and engaging public arts and culture programme. Through your internship, you’ll learn about the operation and impact of
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Capability Development Manager, co-deliver the Institute’s coaching and mentoring programme for two annual cohorts, with a focus on impact design & delivery, cross-sectoral communication, and co-production
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, engagement, and leadership. Establish and lead an RDN-wide ‘Learning Organisation’ programme. Act as a senior advisor to individuals and teams regarding organisational health, behaviours, and people-related
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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will have some prior knowledge in deep learning and computer graphics. Subject area: Statistics, AI & Machine Learning, Public Health & Epidemiology