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positive community; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C, C++, Go, Fortran, Rust). Experience in Julia is a plus
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accelerator physics • Python (or C++, Fortran) coding • analytical skills • basis of data analysis • a high level of communication skills, both oral and written (French and English required) to be able
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start) Due to engagement with participants and stakeholders, the PhD student must be fluent in Danish. Programming skills (e.g., Python) will be considered a strong advantage, particularly for handling
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sciences (preferably in computing, robotics, AI) a clear interest in the topic of the position excellent English communication skill computer science skill programming in C++ and python strong and
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good proficiency in spoken and written English language. Willingness to travel to international and domestic project meetings. The following experience is beneficial: Experience with Python, MATLAB, R
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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COMSOL, Ansys Fluent, or OpenFOAM Excellent knowledge of thermodynamics, fluid mechanics, and heat & mass transfer Strong programming skills in Python, C++, or similar languages Familiarity with machine
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solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical thinking as well as a systematic
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(for example in Python or C++); communicate clearly in English; and enjoy working in a collaborative research environment. It is a plus, not a requirement, if you are already familiar with cosmological or N‑body
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about