58 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at Technical University of Denmark in Denmark
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is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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master's degree, in microbiology, microbial ecology, biotechnology, natural product chemistry, environmental engineering, or a related field. Experience with molecular microbiology techniques such as DNA
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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution assessment framework that will revolutionize biotechnology by developing comprehensive computational
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physiological and biochemical disturbances, and there is a need to optimise degassing technology and processes. This PhD opportunity is part of a project funded by the Norwegian Research Council to strengthen
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the fields of bioprocess engineering and quantitative sustainability assessment. Our expectations of you: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Kristoffer Almdal and Søren Kramer. We offer DTU is a leading technical university
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Job Description Are you passionate about chemical theory and computation? Are you interested in the real-time (atto- to picosecond) dynamic changes in molecules when they undergo physical and
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DC13: Structural engineering of bioreceptors for graphene Responsibilities and qualifications The candidates hired for this position will lead one of four DTU projects (DC2, DC3, DC12 or DC13) with
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Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges