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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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, Agent-based, and Supply chain simulation Required skills Demonstrated knowledge of software like Plant Simulation, AnyLogic, AnyLogistix, or the like Fluency in either MATLAB, Lingo, Python, R, SmartPLS
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didactic qualifications and competences in accordance with level of appointment Ability to independently design, set up, and run experimental studies, including the relevant programming skills (e.g. Matlab
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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for quantum tech, sensing, and artificial intelligence. The job The job consists of development of scripts and software (mostly Matlab) for design of photonic chip-scale components, which includes taking both
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engineering tools and programming languages can be an advantage but not limited to: ANSYS, MATLAB, PLECS, others Excellent English language skills (both oral and written). Publications in international journals
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econometrics, e.g. from the pursuit of a related degree, and preferably a good understanding of STATA, R and Matlab. Solid academic grades in your current studies, fluency in Danish and English, an ability
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and DMA Development of scripts for data analysis using Python and Matlab Evaluation of data and reporting Our expectations of you The successful applicant will have the following qualifications
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. The required selection criteria include: Knowledge of building physics and HVAC system Experience in advanced controls (e.g., RL, MPC) Programming knowledge (e.g., Python, R, MATLAB) Experience in built
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, MATLAB, and/or C++/C#) Knowledge of machine learning techniques, particularly for time-series data Background in prosthetics or human-machine interfaces is advantageous PhD Stipend 2: Adaptive Control