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Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally
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Job Description We are looking for a postdoc to apply her/his knowledge and creativity in a project that aims to prepare for a practical exploitation of fusion technology, this position will offer
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on establishing a foodborne disease surveillance system in Ethiopia, while also supporting other research activities in the group, such as applying genetic data to health impact assessments. Responsibilities and
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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characterization techniques and related data analysis methods for thin-film materials, as well as with the development of a local NOMAD Oasis data infrastructure for experimental materials science. The ability
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work is Department of Biology, Section for Microbiology, Ny Munkegade 116, 8000 Aarhus C. Contact information Applicants seeking further information are invited to contact Associate Professor Ian
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time