170 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" positions at Technical University of Denmark
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of the general degree programmes at DTU. 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
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scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process
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), or robust optimisation Uncertainty and risk: Strong understanding of uncertainty quantification, risk metrics, and decision-making under uncertainty in engineering or energy applications Computational skills
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Job Description We are looking for a motivated, ambitious PhD student to join the Cryptography Group in the Cybersecurity Engineering Section at DTU Compute (Copenhagen region, Denmark). This 3-year
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may be obtained from Professor Jacob Ladenburg, jlad@dtu.dk :, Phone 45 42493610 https://orbit.dtu.dk/en/persons/jacob-ladenburg/ . You can read more about the Department of Technology, Management and
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innovations in the bio/pharma domain can be translated into industrial, commercial, or societal value. Information about the course can be found in the DTU course catalogue: https: //kurser.dtu.dk/course/22179
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Job Description Are you interested in advancing research at the intersection of Science & Technology Studies (STS), Transition Studies, and Organizational and Institutional Studies? Do you want
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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 obtained
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments