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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible: for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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employees and 9,700 Bachelor and Master's students in 12 departments. The Faculty has an annual budget of DKK 3 billion. Learn more about The Faculty of Science at www.science.ku.dk
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support from the university, to learn Danish during their employment in order to support their integration into the workplace and Danish society. Danish language courses will be offered as part of
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for society. Our education is based on problem-based learning and is recognised for producing highly skilled graduates with excellent employability. We apply several pedagogical approaches, including working in
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implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate
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strengthen your profile but is not a requirement for the position. The core academic profile sought is within process engineering or a related discipline. You should have an interest in and motivation to learn
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, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
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Centre for Problem-Based Learning (PBL) is at home. We create educations that are aimed at the job market and a society with increasing focus on technology, digitization, sustainability and partnerships
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are willing to learn Danish within two years. Danish language training will be provided. Contact information For further information, please contact: Dean Birgit Schiøtt, email: [email protected] , phone: +45 2982
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are motivated to learn EV and small-RNA methods are explicitly encouraged to apply. Required qualifications PhD degree in Plant Science, Plant Physiology, Plant Molecular Biology, Microbiology or a related