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maritime networks from the sixteenth to the nineteenth centuries. It will bring together large quantities of previously fragmented archival evidence from across Europe to reconstruct patterns of maritime
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard
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by Dr. Hallvard 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
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) – making Gamma-Ray Spectroscopy (GRS) one of the most essential diagnostics for experimental studies of RE beams. Because they can have a large amount of energy, RE beams represent a serious risk of damage
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Optimization & Management of Power Allocation, Surface & Subsurface strategies), our Industrial Affiliates research consortium on large-load industrial growth in Texas — data centers, oil and gas operations
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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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for integrating large language models (LLMs) with empirical data analysis to enhance threat understanding, uncover emerging attack patterns and evaluate real-world security risks. Collaborate with academic and
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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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to individual variation in brain structure and function across development and ageing, and in neuropsychiatric disorders. The research will integrate human neuroimaging with genomic and epigenomic information