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to apply. Strong programming skills, expertise in spectroscopic data reduction and analysis, and a demonstrated ability to work independently and collaboratively are highly valued. Flexibility and self
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“hybrid engineers”—professionals who combine a strong foundation in engineering and physical modeling with advanced digital competencies. Our programs integrate both digital delivery and digital content
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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competences across multiple (business/ economics) engineering programs. To do so, you will: Advance the research field by identifying knowledge gaps of scientific, academic, and industrial relevance, with
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expect the candidate to have: PhD in transportation science, machine learning, behavioral economics or a related field. Programming skills Python, along with experience working with transportation
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full-time position. The assistant professor position is part of DTU’s Tenure Track programme. Read more about the programme and the recruitment process here . You can read more about career paths at DTU
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SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python to the extent that you can independently write programs to control and automate measurements
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production (e.g., hydrogen storage, geothermal energy). In recent years, the DTU Offshore led program on CO2 storage has become a key player in addressing environmental concerns, offering solutions through
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and relevant industry experience will be prioritised; familiarity with Horizon Europe Programme and previous experience under this programme; strong communication and personal interaction skills
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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers