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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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, 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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communication and willingness to have a societal impact; an empirical research focus and knowledge of quantitative content analysis and computational methods; proven proficiency in statistical software such as
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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
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Your job Are you excited by out-of-the-box thinking and engineering challenges? Are you passionate about reducing the ecological, biodiversity, and climate impacts of commercial flatfish trawling? Do you enjoy synthesizing research insights to develop and test next-generation fish detection...
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teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 34,000 students and researchers alike to develop their own individual talents
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin