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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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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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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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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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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
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, and present research findings at conferences and workshops. Collaborate with researchers from other institutions within the European CLUSTEC program to advance the overall project goals. As a formal
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of platform fabrication will be a central aspect that has to be considered. Your primary tasks will be to: plan and execute experimental research design and fabricate micro- and nanoelectrode chips in the DTU
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passionate for research and for pushing the scientific frontiers. Excellent programming skills. Good collaboration skills. Fluent in English, spoken as well as written. As a formal qualification, you must hold
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to moving the frontiers of science. A good understanding of electromagnetism and magnetotransport. Experience with numerical modelling techniques (ideally Comsol modelling) and programming (e.g. Matlab
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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using