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, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We are committed to research, valorisation and training socially engaged citizens
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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candidate with a doctorate in computer science, mathematics, data science, or related field with relevant experience. A strong interest in clinical applications is essential. Candidates who expect to obtain
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. The Metabolomics & Analytics Centre (MAC) has been a pioneer in Metabolomics since early 2000, and combines advanced metabolomics technologies, innovative sample preparation and robotics, and computational and FAIR