23 phd-position-in-data-modeling uni jobs at Technical University of Denmark in Denmark
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submitted as one PDF file. If you would like additional information about the position, please contact Professor Rene Hendriksen on (+45) 22 45 07 63 / rshe@food.dtu.dk . Applications received after
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engineering, nutrition science, and data-driven modeling to develop healthier and more sustainable food systems. We seek a highly motivated and innovative individual to join our team and collaborate closely
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). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Kaushik Das, email kdas@dtu.dk , mobile
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Job Description DTU invites applications for a position as professor in ecosystem based management advice for fish stocks. The professorship is affiliated with the National Institute of Aquatic
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exam certificates. If you would like additional information about the position, please contact Head of Section Kim Branner, kibr@dtu.dk . Applications received after the deadline will not be considered
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. Application of experimental and field data in modelling physiological process, fish performance and demography under different environmental and anthropogenic forcing and climate change. The professorship is
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analytical methods. We focus on strong expertise in mathematical modelling, optimisation, machine learning, and data-driven decision-making. As associate professor you will be responsible for the teaching of
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. We invite applications for a professorship in Healthcare Operations and Analytics, a strategic position to strengthen interdisciplinary research and teaching at the interface of data science
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to 20% of a full-time position. Starting date would be 1 January 2026 or according to mutual agreement. Further information Further information may be obtained from Prof. Paul Pop (paupo@dtu.dk ), head of
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within energy systems. The interdisciplinary research can draw from operations research, systems engineering, mathematical modelling, data science, economics and political analysis. The work will require