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materials Development of simulation models for the electromagnetic wave interaction analysis Machine learning design of antennas and metasurfaces for interaction with lossy materials Research into practical
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students. In the project you will: Perform longitudinal proteomic and degradomic analyses of wound healing models and clinical samples. Identify proteolytic cleavage sites and post-translational
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-assisted writing, coding, and modeling altering notions of originality, authorship, and evaluation? Which new human-machine configurations emerge or become contested in STEM education? Transforming STEM
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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
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to the evaluation of absolute sustainability of biobased systems, from a biorefinery to a whole biobased society. The main tasks are: Development of a large-scale model of the carbon material flows in a biobased
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Job Description We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular
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Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems for testing them? Then join the Precision Medicine Technologies
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scalable optimization models that capture the sparse structure of water networks. The proposed research will develop methodologies and advanced solutions that will help societies improve energy efficiency
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pharmacology. The PhD project will focus on testing and optimizing antisense oligonucleotides in preclinical in vitro models, as well as formulating these molecules into a novel biodegradable delivery system
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experimental work and risk modeling, you will help uncover how chemicals and microplastics are released from consumer products and contribute to the development of Safe and Sustainable by Design (SSbD