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Division, Electrical Department, Directorate of Technology, Engineering and Quality. The Electromagnetic Compatibility (EMC) and Harness Section supports space projects in all application domains, i.e
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. Viola Angelini, and Prof. Milena Nikolova. You will be based in the Faculty of Spatial Sciences and will be responsible for liaising with relevant partners and for collecting and analyzing suitable
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an enthusiastic and collaborative colleague and meet several or all of the following criteria: a Master's degree in Data Science, (Computational) Epidemiology, (Medical) Statistics, or a similar field; a strong
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the aim of completing the PhD within the total appointment period. • Enrolment in a tailored PhD training programme and registration with the Faculty of Spatial Sciences Graduate School. Intended start date
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a master’s degree in biomedical engineering, computer science or related disciplines, with experience in programming and machine learning. Additionally, strong analytical and problem-solving skills
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the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. Application Do you
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-based statistics, Computational Biology, and expertise in Analytical Chemistry, Biomedical Sciences, or a related field, would be a plus. The main required expertise and skills are Bioinformatics analysis
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-MWM) develops and applies holistic approaches which promote sustainable and resilient management of water systems. About the organisation The Faculty of Geo-Information Science and Earth Observation
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background: Master’s degree (or near completion of a master program) in the field of Urban Economics, Regional Economics, Economic Geography, Entrepreneurship & Regional Development, or related field Skills
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and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical