264 data "https:" "https:" "https:" "https:" "UNIVERSITY OF RIJEKA" Postdoctoral positions in Denmark
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biogeochemical modelling and data-driven machine learning approaches at an ecosystem scale to improve our understanding of the fate of nitrogen fertilizers applied to agricultural soils. This understanding will be
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researcher, you will work closely with an interdisciplinary team of quantum physicists, photonics engineers, and information theorists. Your key responsibilities will include: Conducting experimental research
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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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can read more about career paths at DTU here . Further information Further information may be obtained from Stefano Donati, stefdon@dtu.dk You can read more about The Novo Nordisk Foundation Center
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employment is 18 months. Starting date is 1 April 2026, or according to mutual agreement. Both positions are full-time positions. You can read more about career paths at DTU here . Further information Further
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here . Further information Further information may be obtained from Associate Professor Stavros Gaitanaros (staga@dtu.dk ) or the head of the section, Associate Professor Christian Kim Christiansen
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, you are welcome to contact Professor Amjad Anvari-Moghaddam, aam@energy.aau.dk, phone +45 93 56 20 62. Further information Read more about our recruitment process here The appointment process at Aalborg
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. The pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies
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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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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