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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than
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application phases. This will involve toxicological testing (e.g., cytotoxicity, mutagenicity) and evaluating microplastic release and ecotoxicity using standardized and novel methods (in collaboration with a
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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components, such as voltage and power, particularly in PCBAs. New application areas for electronics mean exposure to not only humidity, but also gases such as H2S, SO2, NOx etc. Together with humidity
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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for short and long term propogation Programming, troubleshooting and implementing automated liquid handling protocols on a variety of robots Developing protocols on demand to automate a wide range of both
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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formulation, characterization, and performance testing of packaging systems in food applications. This PhD project aims to develop, characterize, and validate bio-based food packaging materials derived from
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offer computational efficiency and the ability to handle uncertainties. This project aims to identify promising RL-MPCs for application and upscaling in real-life building management settings. As PhD