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). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB/Simulink). Moreover, the candidate shall demonstrate the following experiences: Teaching in the areas of structural
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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and master’s theses in the Service Systems Design master’s programme. You will also contribute to curriculum development and to training activities that strengthen students’ employability. Your work
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as possible thereafter. The position is part of a project funded by the Villum Foundation's Villum Experiment programme. The project Electrically conductive iron minerals are widespread in anoxic
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this framework and to integrate observations and experimental approaches across the wider CIFAR research program. Ultimately, the project will help determine how the capacity for CO₂ uptake acidiciation in
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advantage experience with underwater, marine or field robotics is an advantage a track record of publications in relevant international conferences and journals strong programming skills the ability to work
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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have experience with: Geospatial and statistical analyses of remote sensing and ecological data, Good programming skills, ideally using R, Python, or similar, Land cover and land use change
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involvement in teaching in animal science and in the veterinary science programme. Research-based consultancy to authorities, where it is relevant. Who we are Department of Animal and Veterinary Sciences is
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, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging