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academic level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
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Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical experiments. Interest in connecting theory
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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– preferably ABAQUS with Python scripting Fracture mechanics (linear elastic and/or cohesive fracture mechanics) Damage mechanics Composite materials and/or sandwich structures Adhesive joints You must
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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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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage strategy for scalable PBM
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, including bias mitigation and reinforcement learning techniques. Proficiency in Python and standard NLP libraries (e.g., Hugging Face and PyTorch). CHC is a research and development unit at Aarhus University
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this area will also be considered. The ideal candidate should be proficient in scientific programming (e.g., Python or MATLAB) and have a genuine interest in developing and testing experimental setups
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and analytical skills; experience in programming, e.g., in C++, Python or Matlab (experience with programming of sofware defined radios and/or off-the-shelf communication modules is a plus); a creative