68 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" PhD positions at Technical University of Denmark
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background in chemical engineering thermodynamics, physical chemistry, water, electrolyte systems, or a related field experience in mathematical modelling, scientific programming excellent written and spoken
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and transport systems, within the ELLIS network. The project is fully funded through the Novo Nordisk Foundation Data Science Distinguished Investigator programme. You will be based in the Intelligent
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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, please see DTU's rules
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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 . We offer DTU is a leading technical
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substrate utilization and culture conditions with programmed cell death, using D. hansenii and S. cerevisiae as model organisms, and follow up design engineering strategies to prolong the yeast lifespan in
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of programming (in particular Python) is preferred. Furthermore, the candidate should be highly motivated and willing to work in a team. Good communication skills in both spoken and written English, are a
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programming experience is an advantage. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment
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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 The assessment of the applicants will
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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, please see DTU's rules for the PhD education
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mathematics, or a related field. The candidates for the PhD position will be assessed on the following criteria: Strong skills in probabilistic modelling, machine learning, or simulation techniques. Programming