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Two fulltime post doc positions in Theory of machine learning are available. The post docs are under the supervision of Professor Kasper Green Larsen, Aarhus University, Denmark. The focus
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the Department of Economics and Business Economics, we are looking for lecturers who can teach at Bachelor or Master’s level within, but not limited to, the following fields: Business Intelligence Machine and Deep
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, relevant to the position: an internationally oriented research profile within fields such as child-computer interaction, human-computer interaction, interaction design, learning sciences or computer
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, peripheral nervous system, immunohistochemistry, satellite glial cells markers and subtypes, and machine learning strategies for quantification from IHC. As a person, you have good interpersonal skills
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, students, and academic staff to gather feedback and insights on the use and effectiveness of AI-driven educational tools. - Stay abreast of advancements in AI, machine learning, and computational
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. The ideal applicant can experiment with new methods in the field, for example teaching applied machine learning in an accessible manner to students. Such methods can also relate to teaching platform policy
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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 methods will be highly desirable. Experience in development and use of EC-Earth (European Community Earth System Model) in relation to aerosols and clouds will be highly desirable
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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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analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning