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an integrated zero-emission system and setting a new benchmark for sustainable innovation. This project will upcycle underutilised olive mill waste (OMW) into high-value products, including plant
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and develop an improved design and maintenance framework for long-term performance and climate resilience. The project will assess the influence of various slope drainage systems on pore pressures
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly, green campus with on-site
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, intermediate, and final products. Collaborate with the design, set-up, and running of experiments. Perform plant-based ingredients texturization by high moisture extrusion, drying, and ripening processes
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interactions. Clone and express top candidates using high-throughput cell-free and bacterial systems. Perform structural and biophysical characterisation of designed enzymes Perform functional characterisation
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description During the three-year PhD program, the student will be supervised
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. • Implementing and evaluating preprocessing steps to improve model performance and computational efficiency. • Comparing model performance and cost-efficiency with traditional detection methods. • Testing
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of topics in exercise and muscle physiology across the full hierarchy of biological organization: from the physiology of thermoregulation and in vivo performance to mechanistic molecular studies
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order to better understand, explain and advance society and environment we live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied