295 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in Denmark
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research projects, from initial conception and design through to completion. Communicate research results: presenting data at national and international conferences and meetings, writing reports and
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barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis
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data storage in Iceland. Drawing on science and technology studies and, specifically, infrastructure studies (Edwards et al 2009; Star 1999), the project aims to follow moments of instability and re
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research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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to assess cell performance evolution and degradation behaviour Investigating impurity-induced degradation mechanisms related to feed gases, system components, or cell materials Analysing experimental data and
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the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Timothy P. Jenkins
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental