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and secreted proteins. Establishment of biofilm models on plastic surfaces that mimic the environmental conditions of isolates. Topics and methods (not prerequisites): Microbial pathogenesis and host
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of pathogen surface proteins and secreted proteins. Establishment of biofilm models on plastic surfaces that mimic the environmental conditions of isolates. Topics and methods (not prerequisites): Microbial
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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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Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct
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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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are interested in the discovery and characterization of novel chemical reactions proceeding towards bulk chemicals under environmentally friendly conditions. We use NMR spectroscopy for discoveries and unbiased
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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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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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converters are deployed, they collectively weaken grid strength and introduce high volatility in grid impedance. Each newly installed VSC must be tuned during commissioning to match local conditions. This is