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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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commitment in a growing research group and are willing to work closely with industry partners. You are fluent in English, both spoken and written. Experience in national and/or European research projects is a
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the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a
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the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a
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Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research
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to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
degree in molecular biology, biophysics, nanotechnology or another relevant field. The applicant must be fluent in written and spoken English and have a proven capability for independent thinking