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measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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techniques such as thermal drones and AI modeling, with Python, R-Studio, Yolo, SLEAP, LabGym. The applicant must have proficiency in RStudio and GIS tools, as these skills are essential for data analysis and
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programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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computer science, mathematics, and statistics. Advanced programming skills. Advanced verbal and written communication skills (fluency in English is required). Desirable: Fluency in Python. Experience with
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closely related field, and a solid background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with
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of the operational characteristics and limitations of underwater sensors (e.g. sonar, DVL, SBL, IMUs, pressure sensors) is particularly relevant. Technical computing skills: Proficiency in programming (e.g. Python and
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(highlighting relevant projects) Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale If you are mentioning previous experience with python code-based simulations
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. Experience with modelling and simulation tools such as MATLAB/Simulink, Python, or similar is essential, along with good programming skills and the ability to work with complex systems. Strong analytical
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. Employment and enrolment conditions follow the agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations (AC). More information on the PhD programme: https