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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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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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, 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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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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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Engineering, Computer science, Physics, Acoustics or any related area, high motivation for studies and working within interdisciplinary research projects, excellent communication skills in written and spoken