412 programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"U"-"Prof"-"U.S" Fellowship positions in United Kingdom
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data), indices (Multiple Deprivation, Community Needs, London Civic Strength) and mapping tools (Understory; Emergency Planning Tool). Making sense of these resources, their strengths, weaknesses, and
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) in one or more of the following areas: Quantum machine learning, Quantum algorithms, Quantum information theory or Theoretical Physics Essential criteria: Proficiency in at least one programming
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an intervention to prevent falls in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity
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Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute to dementia-related research, specifically focusing on the care
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an innovative research programme on decarbonisation within galleries, libraries, archives, and museums, with a focus on Scope 3 emissions. This Fellowship is made possible with support from Getty through its
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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. We have an exciting opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low