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will learn and adapt the realms of the combustion modes and fine tune the performance for each while the engine is operated. Self-tuning, adaptive, control algorithms will be used. This part of the three
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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leaders via our educational activities and opportunities for lifelong learning. Complex challenges call for joint action, and therefore our strategy focuses on strengthening current and starting new
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and teaching environment toits 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more atwww.international.au.dk/
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crucial role in understanding and shaping the living environment of the future. We work for and with society. Our motto is: we are making places better together. If you would like to learn more, visit
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, Biomedical Science and Technology, and 1500 students in our bachelors and masters programmes. We hold state of the art research and we offer state of art learning opportunities in our teaching facilities