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assistant professors, as well as a varying number of PhD students, postdoctoral researchers and technicians. Read more https://ruc.dk/en/research-group/environmental-dynamics Responsibilities and tasks
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environment with state-of-the-art infrastructure and a strong commitment to scientific excellence. More information: https://mbg.au.dk What we offer We offer: The opportunity to contribute to an internationally
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Schønau-Fog, [email protected] You may read more about the department here: https://www.create.aau.dk/om-create Further information Read more about our recruitment process here The appointment process at
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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-life and consistently ranks among the happiest countries in the world. Information about life in Denmark in general, health care, tax etc. can be found at the International Staff Unit page https
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physics. Odense is a fast-growing international community with an open Scandinavian culture, affordable housing and living costs. For more information on the QM centre, please visit https://www.sdu.dk/en/qm
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information at our website http://www.cnap.hst.aau.dk If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further
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more about AAU Energy and the research groups at AAU Energy: https://www.energy.aau.dk/ The mission is to be world leading in both research and research-based education of the energy engineers
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description You will be contributing to the organization of project datasets, digitalization and integration of data, and curation of research data and associated metadata. You will support harmonization
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to study barley drought resilience and how it arises from plant-microbe interactions at gene-for-gene level. You will integrate plant phenotypic data, large-scale root microbiome metabarcoding data with