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, basic applied econometrics skills, and interest in furthering these. Interest in Green Technologies and Green Energy. Experience with other social science methods (e. g. qualitative techniques, fuzzy sets
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of quantum programming languages and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and
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Business Economics at Aarhus University. ACE is a research center focusing on the development of econometric theory and methodology; specifically, methods that are robust to nonconformity with classical
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with ethnographic or related qualitative methods is expected. Familiarity with theories from organization studies, science and technology studies (STS), sociology, education studies or related fields
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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supervisors and industry partners, you will bridge theory and practice to create research with real-world impact. Your primary tasks will be to: Conduct research on data-driven and modular approaches
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD