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: marine mammal bioacoustics passive acoustic monitoring tools (PAMguard) bioacoustic machine learning including supervised and/or unsupervised classification, model training, and model assessment database
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/mechanical engineering, computer graphics/vision, machine learning, or other related skills that are useful for fabricating new types of physical objects and interfaces excellent programming skills Your
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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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applicant will be expected to teach in English. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS, information studies or neighbouring