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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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how variations in mould structure, porosity, and surface characteristics affect radiative heat transfer and casting performance. Phase-field modelling will also be used to simulate defect formation and
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including deformation and ageing and other non-conventional paths to provide the best combination of crush performance and strength along with energy absorption properties from the new generation of high
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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective
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you will break new ground at the absolute forefront of what is possible in safe operation of autonomous agricultural vehicles. These are needed to enable better land use and management. This project
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
Vacancies PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems Key takeaways The RS-group and Electromagnetic Compatibility Group within
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
to improve the capacity of these microbes for efficient, high-yield bioconversions from CO2 and P2X feedstocks, such as methanol, formate, and hydrogen. Our ultimate goal is to prototype and develop next
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: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
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these robots utilise electronic, chemical, pressure, magnetic, or thermal mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage