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are characterized by different biological source mechanisms than marine systems. The project will improve our understanding of the interactions between the biosphere and the atmosphere. In the long term, it
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contribute to the structural characterization of NS3–inhibitor complexes Process and analyze cryo-EM data using established computational pipelines and structural modeling tools Apply, or develop expertise in
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. In this project, you’ll have the opportunity to be trained and become a proficient user of a range of advanced experimental techniques. For instance, you’ll learn how to use in-situ X-ray Computed
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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will work on projects where research meets real-world challenges. This includes developing soil moisture maps to reduce damage from forest machinery, testing innovative methods to control pests in
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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Project Link: Preclinical Evaluation of Spinal Therapies | Project Opportunities | PhD | University of Leeds Number of Positions: 1 Funding: School of Mechanical Engineering Studentship, in support
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the underlying mechanisms are, at what stages in disease progression they are protective or detrimental and whether there are shared mechanisms across diseases such as Alzheimer’s and Parkinson’s disease. The PhD