350 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Denmark
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Lyngby Campus, Denmark, You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun ( suyi@dtu.dk ). You can read more about DTU
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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, but also in other study programmes at the University. You may obtain further professional information from Associate Professor Iva Ridjan Skov, +45 9940 2950, iva@plan.aau.dk You can read more on TECH
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Department of Sustainability and Planning here You may obtain further professional information from Andrés Felipe Valderrama Pineda, afvp@plan.aau.dk. Qualification requirements Appointment as a research
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formulating and executing own research projects. Applicants should submit: Letter of interest PhD diploma. CV Recommendation letter Contact information For further information about the position, please contact
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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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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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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