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allocation, or control optimization). Experience with 3D sensing, perception, computer vision, or sensor fusion. Proficiency in programming languages such as Python, C++, or C#. Experience working with
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, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects in this area and will work
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to find and utilise new data sources. Proficiency in Stata, R, Latex, or Python, etc. Proficiency in a Scandinavian language (Norwegian, Danish, or Swedish). Relevant experience in teaching. Experience with
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requirement. Good coding skills in, e.g. MATLAB, Python and/or Julia is a requirement. Experience from or competence in fluid mechanics is an advantage. Basic knowledge on geophysical (atmospheric or oceanic
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects
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join our team in studying this key issue in plasma acceleration. The research topics involve the coupling of multiple plasma-accelerator stages, as well as how to stabilize these machines with newly
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’ project. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts and perform numerical simulations. Closely collaborative and
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physical hypotheses. Run customised scripts using programming languages such as Fortran, Python, and/or MATLAB. Postprocessing and interpretating datasets from numerical simulations. Propose parameterization
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can also be proposed by the candidate as topics of investigations. The exact focus can be adapted to the candidate’s interests. The project offers flexibility to pursue multiple sub-projects while
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or tools and methodologies for dynamical simulation. programming skills in Python, MATLAB, Modelica and/or domain specific tools used for energy system modelling and simulations. Emphasis is also placed