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At the Technical Faculty of IT and Design, Department of Planning, a PhD stipend is available within the general study programme Development and Planning. The stipend is open for appointment from 15
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in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written communication skills in English. A proven academic
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assistants to plan their days at the CoG together, so there will be app. two fixed days, where you will be at the CoG, but we are of course flexible in relation to exam periods etc. The employment is on
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postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a landmark database on
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model-based systems engineering, with emphasis on developing innovative solutions for manufacturing systems. You will be expected to build and maintain a strong research program, including securing
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and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
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both. Mathematical maturity and experience with scientific programming are essential. A background in probabilistic methods is highly desirable, at the level of master’s courses in probability
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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 university globally recognized for the excellence
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Development: Collaborate with our team to develop compelling and competitive grant applications to grant programs such as Horizon Europe, LIFE, CETPartnership or others depending on availability and relevance
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit