207 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "J" PhD scholarships in Denmark
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look forward to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the study programme of
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is for 3 years. The workplace is at the Department of Chemistry and Bioscience in Aalborg, where you will become part
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Job Description Join a young research group dedicated to transforming materials discovery from empirical exploration to predictive design. Our research program builds on a synergy of high-throughput
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Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics, materials science, and artificial
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to shared case studies and interdisciplinary research activities. In addition to research activities, the PhD fellow will contribute to teaching and supervision within the Techno-Anthropology programme at
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant
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for global health challenges. The group’s research spans disease modelling, genomic analysis, causal inference with machine learning, and deep learning for various health-related domains. PhD Programme