48 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Denmark
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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measurements A good understanding of advanced physiological techniques Experience with enzymatic in vitro assays and plant x climate interactions Experience in complex data handling and statistical analysis
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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professor, but may also be obtained in other ways. The applicant is required to have completed a university pedagogical programme or an equivalent programme. Further information on the appointment procedure
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area of expertise. Collaboration will involve joint problem-solving, the integration of data streams, and the development of decision-support tools to inform large-scale restoration policy. Your profile
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
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located at Frederiksborgvej 399, DK 4000 Roskilde, approximately 40 km west from Copenhagen. Contact information For further information, please contact: Professor, Nikolai Friberg, +45 31250820, niko
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will be working primarily with air quality measurements and analysis of air quality data. The position will focus on indoor and outdoor air quality in relation to children and health. You will be