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Job Description The section for Atomic Scale Materials Modelling (ASM) at DTU Energy is looking for two outstanding candidates for PhD scholarships within the field of Geometric deep learning
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intersection of experimental testing, storage modelling, and energy system monitoring and control - contributing knowledge that can help data centers and other high-energy users reduce their environmental
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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
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student to join our dynamic and interdisciplinary research team in the Section of Construction Materials and Durability at DTU Sustain. Through advanced experimental work and modelling, you will help
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master's degree. The successful candidate will have a degree in chemistry, chemical engineering, biochemistry, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or
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and sustainable biomanufacturing. However, little is known about non-model gas fermenting microorganisms. The focus of the advertised positions will be on mapping the metabolism of gas fermenting
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method (measurement of energy stored) will be developed in the laboratory. You will work at the intersection of experimental testing, storage modelling, and energy system monitoring and control