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. The position will be available for a two year-period. You will be part of a research environment focusing on utilizing New Genomic Techniques (NGT) for breeding of plants. You will be contributing specifically
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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or interdisciplinary work in relevant scientific journals Motivation to work in an international and interdisciplinary research environment. Who we are The Department of Ecoscience is engaged in research programs
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nicolaivoneggers@cas.au.dk For further information about the application procedure, please contact HR supporter Gerd Bech Thomsen (gebeth@au.dk ) The work environment Researchers at the Department of History work
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and/or modeling approaches at an ecosystem scale to improve our understanding of how greenhouse gas exchange will respond to environmental changes including rewetting, restoration, and other
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extension of one more year. Job description This postdoc position focuses on research in deep learning for remote sensing data analysis within a highly collaborative, interdisciplinary environment. You will
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protein structure in complex biological and medical environments. This opens up opportunities to tackle fundamental questions such as: (1) Can subtle structural differences between aggregates and disease
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addition to close collaboration and sparing in the research team, the department – not least CEPDISC – offers excellent opportunities to develop as a researcher in a vibrant, supportive and professional environment
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detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
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environment. We emphasise the importance of good working relationships, both among colleagues and with our students. As part of the application, applicants are asked to describe how their previous research