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of this thesis is to contribute to the development of these means, particularly in the context of the PEPR SupraFusion project. For the experimental part, the thesis work will initially rely on a test cryostat in
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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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partners from 13 countries, including Europe’s leading semiconductor manufacturers and research institutes, to develop new materials, equipment and processes and prove them out on real industrial use cases
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will be carried out on a nuclear reactor simulator, with the possibility of validating results on a physical non-nuclear test system. You will design control algorithms that handle the full range
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
of Bath and the soft X-ray imaging beamline, I08 SXM, at Diamond Light Source, giving you hands-on experience in material synthesis, carbon capture testing, and spatially-resolved X-ray imaging. Together
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and Drug Safety is looking for a: PhD candidateGenetic Susceptibility in Stem Cell-Derived Organoid Safety Testing Why do people respond differently to harmful substances, and why are some individuals
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energy piles have been extensively studied, using field tests, physical modelling, and numerical modelling, the behaviour of energy piles under complex thermomechanical loading (e.g. vertical-horizontal
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combine bacterial genetics, genetic engineering and experimental phage biology to perturb host physiology and test causal mechanisms. The work will include constructing bacterial strains and reporters
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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. The research will assess novel liquid biopsy tests for the early detection of cancer in people with Lynch syndrome, working within the Predi-Lynch collaboration (https://predi-lynch.eu/). Predi-Lynch is funded