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management and modelling, in an interdisciplinary setting Experience with economic valuation and/or impact assessments Experience in working with big data and register data. Flexibility, enthusiasm
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. Close collaboration with NADARA will allow you to apply and validate your methods using real operational data from a large wind turbine portfolio. Project Responsibilities and Qualifications As a Doctoral
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Smart Energy Systems towards climate neutral societies. The research will have both national and regional perspective, to a large extend focusing on Denmark but also with international perspectives
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the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Kim Dam-Johansen , Director of
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
of statistical methods in quantification of EELS data, in particularly. Prior experience with advancing EELS measurements of captive gas (of nanoliter volumes within MEMS structures) is a big advantage, and so is
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is to develop RL methods that can search large policy spaces and support decision-makers in exploring robust strategies under deep uncertainty. Policy problems typically involve many control levers
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Monitoring and Modelling solution for data-driven hOlistic management of urban water quality). At DTU Sustain you will contribute to creating digital solutions that will give urban water managers access to all
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interpreting large-scale spatial transcriptomic data from multiple clinical trial. You will collaborate with an interdisciplinary teams of scientists and clinicians to develop bioinformatics pipelines and tools
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Assistant professor in Analysis and Modelling of Nitrogen Cycling, Losses and Emissions in Croppi...
into management and quantitative analysis of large long-term datasets Experience with ecosystem modelling and supporting experimental work, such as tracer experiments, for improved understanding of nutrient and
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experience with chemical kinetic modeling and use of statistical methods in quantification of EELS data, in particularly. Prior experience with advancing EELS measurements of captive gas (of nanoliter volumes