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Field
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- and middle-income countries (LMICs)? The University of Liverpool and the Liverpool School of Tropical Medicine (LSTM), with funding from Wellcome, are offering 4 fully-funded Clinical PhD Fellowships
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
development. Opportunities to interact with other academic and industry partners working on advanced LLM systems. Access to computing resources for running LLM-based experiments. Who You Will Work with The lead
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of influence: As a university assistant (praedoc) on this 4-year position you will be part of the “Quantum Information and Quantum Many-Body Physics” group, led by Prof. Norbert Schuch. Our research lies
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and programmable biomaterial synthesis. The ability to program the behaviour of biomolecular chemistry is foundational for developing new biotechnology applications. Redox-sensitive molecules are a
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INTENSIVE LEARNING ACADEMY FOR INNOVATION IN HEALTH AND SOCIAL CARE The All-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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Volcanic islands are exciting real-world climate and landscape laboratories. When geologically young (<10Ma) they provide a simplified and spatially limited setting for testing landscape evolution
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• Personalised Career Development Plans Open Positions DC 3: Development of a numerical tool for geothermal performance of EGs. Host Institution University of Edinburgh (United Kingdom) Main Supervisor Melis
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
30 Oct 2025 Job Information Organisation/Company University of Derby Research Field Engineering » Civil engineering Engineering » Geological engineering Researcher Profile First Stage Researcher (R1
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datasets with phylogenies and environmental variables, the project aims to rapidly explore trait evolution, predict dispersal potential, and assess climate-related risks. This work bridges biodiversity