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                clinicians) and undertake a prospective mixed methods study investigating flare symptoms as they occur, using physiological markers (e.g. heart rate and sleep from wearables) objective tests (e.g. cognitive 
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                the resilience of drinking water supplies in the affected region for the future, based on laboratory analyses, field investigations and numerical modelling. Tasks: We are looking for a highly motivated researcher 
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                Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production 
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                of invariants of operator algebras, such as K-theory and cyclic homology; and Developing a mathematical method for passing from numerical Berry curvature to robust topological invariants in a large class of cases 
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                communication skills in English Strong background and knowledge of the Finite Element Method or any other relevant numerical methodology. Other valued skills (not mandatory): Authorship or co-authorship of journal 
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                with Prof. Qi (now at Georgia Institute of Technology), this field has received significant advancements, with numerous proofs-of-concept showcasing diverse behaviors and materials for potential future 
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                fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production? Information Integrated 
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                Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk 
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                skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization 
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                engineering, or a related discipline Experience in mathematical modelling and numerical methods for ordinary and partial differential equations Strong interest in working in a cross-disciplinary, collaborative