96 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY" positions at University of Leeds in United Kingdom
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keen to explore novel in-situ biology Are you an early career researcher looking for your first challenge? Do you have a background in vaccine development? Do you want to further your career in one
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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inequality for deliberation and participation in democratic spaces. In collaboration with other EU partners, we will develop techniques to detect difficult words and constructions in the texts of the target
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you like to work as part of a large interdisciplinary team that brings together multiple research partners, policy makers, schools and industry stakeholders? The CHILI Hub (Child and adolescent Health
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bid development and budget management. Leading a delivery team and reporting to the Nexus Director, you will work to scope out and develop new opportunities to build on existing programmes and pilot
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stimulating role, ideal for someone who enjoys working across multiple areas and is eager to make a tangible impact. You’ll be central to supporting our research projects, including numerous prestigious
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Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz and Professor Helen Ford at the University
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of working to tight deadlines and independently prioritising multiple tasks. This vacancy is within the Finance Service, based in the Faculty of Arts, Humanities and Cultures. However, should the business need
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the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
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). This role is an exciting opportunity to take a role in the development, management and analysis of a new repository of Individual Participant Data (IPD) from ageing research trials. The work is an