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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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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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formation, growth and morphology of the layer play a big role, which is also a function of surface property of the substrate such as surface energy, roughness etc. This PhD project aims to systematically
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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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(for automation, data analysis and ML) and C/C++ (for UDF development and high-performance routines). Hands-on experience running large simulation campaigns in an HPC environment (job schedulers, batch
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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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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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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