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The Department of Mechanical and Production Engineering (MPE) at Aarhus University is expanding its activities in the fields of “Fluid mechanics and machine learning for digitalization of wind
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new analytical and machine learning tools that will help to interpret complex multimodal data, and you will do it in collaboration with top research scientist in the field and in an international
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and Complexity ; Machine Learning ; Natural Language Processing ; Software, Data, People, and Society ; Programming Languages and Theory of Computing ; Artificial Intelligence; and Image Analysis
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more than a single semester With strong digital skills and willing to learn more about applying cutting-edge programing language (Computer Vision, LLMs, etc.) As a person, you have good communication skills
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independently but supervised by members of the research team. Our expectations of you We seek a candidate with excellent skills using, adapting and analyzing state-of-the-art machine learning models. We seek a
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activity(at cortical, spinal or peripheral level) and/or bio-psycho-social behavioural assessment. Advanced signal analysis, including e.g. machine learning techniques, should used for assessment and
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include quantitative genetics, machine learning applied to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus in Aarhus and at Research
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and machine learning in our constantly changing and developing data environment. As our group provides data for many different end-users and projects the work can be very diverse with routine tasks as
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and hands-on experience with machine learning What we offer in return We offer you a varied job with personal challenge, where you greatly help to create a framework enabling isoform analysis. You will
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department with strong research sections in the areas of Human-Centred Computing ; Algorithms and Complexity ; Machine Learning ; Natural Language Processing ; Software, Data, People, and Society ; Programming