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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis
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. Access to advanced infrastructure (including 7T MRI) is provided, alongside a growing campus with three new research buildings under development. Example research projects include: AI-based analysis
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physiology. Experience with molecular cloning, bacterial strain engineering or fermentation is a plus. Data analysis skills (e.g. Python, MATLAB) or experience with metabolomics and mass spectrometry are a
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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energy research, combining laboratory experimentation, computational modelling, and data analysis. Experimental work will be carried out in the world class COAST laboratory, examining floating offshore
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The AGATA (Advanced GAmma Tracking Array) is one of the most advanced gamma-ray tracking spectrometers currently in operation worldwide. Based on highly segmented HPGe detectors, pulse-shape analysis, and
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. The duties include, among other things: planning and conducting experimental studies of catalytic processes under operando conditions developing and applying experimental methods for surface analysis and gas
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Project summary: How does exposure to electricity price risk shape the way investors value European companies? Using textual analysis and financial econometrics, this PhD will construct new