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Measurements and Data Processing as per October 1, 2025, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg
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the pharmacoepidemiological research group within the department of Clinical Pharmacology, Pharmacy and Environmental Medicine (CPPEM). The pharmacoepidemiology group is led by professors Jesper Hallas and Anton Pottegård. It
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Engineering, Katrinebjergvej 89 G-F, 8200 Aarhus, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Associate Prof. Pourya
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information may be obtained from Professor Charlotte Scheutz, Section of Waste, Climate and Monitoring, chas@dtu.dk and Associate Professor Xenia Trier, Section for Environmental Chemistry and Physics, xt
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Associate Professor Thor Grünbaum. The larger project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive
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activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in soil science, digital soil mapping
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has strong competencies within all these technologies, associated process engineering and covers a large part of the TRL ladder. This includes basic research as well as activities within demonstration
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
AU Viborg, Blichers Allé 20, 8830, Tjele. The affiliation will be with Soil Physics and Hydropedology, Department of Agroecology. More information can be obtained from Associate Professor Shubiao Wu
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Aarhus University with related departments. Contact Information For further information please contact: Associate professor Ulf Andersson Vang Ørom, ulf.orom@mbg.au.dk Deadline 30 July 2025. Application
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection