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understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you will contribute to this challenge by advancing the modelling
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education. Furthermore, you bring: A master’s degree in Education, Psychology, Health Sciences, Global Health, Medicine or a related field. You have experience with academic research, including designing and
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Civil Engineering, Mechanical, Electrical, or a closely related field. Demonstrated expertise in ESM and IAM. Experience with High Performance Computing (HPC) and large-scale dataset analysis. Strong
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Engineering or related fields; ii) Suitability of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in projects in the area of Agriculture 4.0 3. Work Plan
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maturation. Tasks and responsibilities: complete a PhD thesis within the official appointment duration (four years); designing and conducting experiments on maternal factors, infant gut microbiota and
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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derivatives against the target protein; hUPF1. Design in vitro and in vivo experiments. Make in vitro experiments for the selected ligands (and derivatives) for the UPF1 protein and cellular thermal shift assay
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their performance in relation to the design and qualified for use with high-power lasers in collaboration with DC12. The main duty of the Doctoral Researcher (PhD Student) is to conduct research for their doctoral
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. Experience with medical-device regulation, clinical research, benefit–risk assessment, stakeholder workshops, survey experiments, or anticipatory governance is an advantage. We do not expect candidates
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, the effectiveness of Helix—and other advanced wake-mixing strategies—strongly depends on the accuracy of the wind farm models used to design and evaluate these control strategies. Improving the predictive capability