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technology studies (STS) with a focus on information infrastructures for territorial management. The postdoc position is affiliated with the research project Governance by Infrastructures funded by the Aarhus
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development, employing machine learning techniques applied to industrial datasets, and in collaboration with industry. The applicant will work in the Software Engineering Theme, which is one of several Themes
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improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate the role and mechanisms of receptor
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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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researchers across a wide spectrum of Interaction Design and Human-Computer Interaction topics. Teaching and supervision As postdoc in the DEEP project your position is primarily research-based, but it will
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to integrate data-driven machine learning and process-based radiative transfer models for remote sensing retrieval of agroecosystem variables. The research project will primarily target the wheat cropping
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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