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11th October 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow within Renewable Energy
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Elven (NHM) . The PhD project will focus on the systematics and ecology of selected groups within the Diptera family Cecidomyiidae, specifically within the large subfamily Cecidomyiinae. Most members
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relevance and scale-up potential. About You We are looking for someone with significant experience in: Conducting independent and collaborative research within large, multidisciplinary and international
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. Experience in one or more of the following is highly desirable: Operating high-resolution mass spectrometry platforms (e.g. Orbitrap, AP-MALDI) Handling and analysing large-scale metabolomics datasets Data
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source analysis for both small earthquakes within the Singapore and moderate-large earthquakes in southeast Asia. Key Responsibilities: Apply and develop approaches for advanced earthquake source analysis
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability
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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page Discover more about
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communication technologies is driving the progression of modern AI. However, current efforts are predominantly concentrated on Large Language Models (LLMs) tailored for industrial applications, leaving AI