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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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, or predictive modeling—based on real experimental data. You will work closely with engineers, technicians, and the postdoc to build and refine data pipelines and interfaces. As part of your research training, you
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, the CAPeX approach to finding new electrocatalytic materials for energy conversion reactions uses state-of-the-art machine learning techniques, but experimental feedback is needed to improve the models and
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circular, economically viable future for packaging. Through SSbD assessment in collaboration with the consortium, experimental work and risk modeling, you will help uncover the hotspots in the production
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
, gases and applied potential conditions. The project will also include the development of advanced simulation models to characterize and predict moisture transport through gel substrate and interfacial
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to maintenance Collect and analyze industrial case data in energy, manufacturing, or process sectors Develop conceptual and computational models linking operations and maintenance Validate frameworks in
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials
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content may be obtained from Head of Section for E-Mobility and Prosumer Integration, Senior Researcher Peter Bach Andersen (petb@dtu.dk ), Assistant Professor Jan Engelhardt (janen@dtu.dk ), and Postdoc
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DTU National Food Institute, at the Technical University of Denmark, is seeking highly motivated applicants for a Strategic Alliance PhD scholarship focused on the designing and modelling of switchable
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data