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) techniques, such as persistent homology, and applying these methods to real-world data, including biomolecular datasets. Key Responsibilities: Contribute to the development and implementation of topological
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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The RF should have strong background in computational methods for solving Maxwell’s
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system and methodologies for characterization of the nanostructures and their in vitro and in vivo behavior-related to antimicrobial resistance. We are looking for a research fellow to develop methods
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, implementation research, co-design or patient-public involvement Design of research projects using a range of methods (experience of quantitative and qualitative methods) Competent in utilising software packages
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Fellow in areas related to formal-method-based automatic analysis and design of robotic operational specifications to take on a position of Research Fellow to support the project entitled " Universal
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to flow/scaled flow processes. Design and synthesize green solvents (e.g., deep eutectic solvents) for efficient biomass component extraction. Collaborate on the development of hybrid physics-based/data
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Responsibilities: Develop new methods for power systems control. Develop data-driven methods for application in power & energy systems Assist in preparation of teaching materials for electric power related courses
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. Our multi-disciplinary team has developed the CADENCE D-PHA (Digital Personal Health Assistant), a multi-component mobile health application designed to improve medication adherence. The app aims
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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on the development of new synthetic approaches for porous materials-coated bacteria. Perform detailed structural characterizations of obtained systems using experimental and theoretical methods. Evaluate