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Field
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modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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Job Description The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites an excellent candidate to join our team for this full-time position
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pulse sequences and developing novel pulse sequences to advance the state of the art in MRI. A successful candidate should have the following qualifications: Ph.D. in Biomedical Engineering, Medical
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engineering and can demonstrate through other projects or experiences knowledge across the disciplines of electronics, software development and/or RF communication. An interest in rocketry and/or prior
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and upper stage launch systems. Simulation and test campaigns can be significantly costly in both time and cost having significant implications to technology hardware development. A software that allows
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16 May 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Bachelor Master Areas of study Applied Computer Science, Bioinformatics, Software Engineering
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months: (i) Universidad Politecnica de Madrid UPM (Spain), (ii) Research Centre for Territory, Transports and Environment, Faculty of Engineering UPORT-CITTA, Porto (Portugal), (iii) STRATEC (Belgium
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Quantitative Geography / Psychology / Sociology / Health or Epidemiology / Transport or Civil engineering / Data Science / Urban Planning / or other relevant quantitative field ;•Excellent knowledge and
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, their validity often does not extend to the operating environment of a gas turbine, often neglecting important engine-realistic geometric features and transient operation. In this PhD project, you will apply