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9 Oct 2025 Job Information Organisation/Company Technical University of Denmark - DTU Department DTU Wind Department of Wind and Energy Systems Research Field Engineering Researcher Profile First
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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talented and ambitious PhD student to join our Hospital-at-Home (HaH) project. The Department of Technology, Management, and Economics at Technical University of Denmark (DTU Management) invites applications
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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work with fish and/or aquaculture systems Accuracy and patience for laboratory and experimental work Interest towards statistics and bioinformatics Strong written and oral communication skills in English
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in