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, CO2 capture, and related fields. Experience with bioprocess optimization, gas-liquid fermentation, Knowledge about the multispecies interaction withing consortium and genome scale metabolic modelling
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protype within the duration of the Ph.D. project. The successful candidate will develop physical models of the system being built with the aim of predicting and optimizing its performance. In addition
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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experiments in the BRIGHT biofoundry. The following qualifications are essential: Knowledge of Pontryagin’s maximum principle and the related theory of open-loop optimal control of dynamical systems. Knowledge
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aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies that address micronutrient
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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point of this PhD to link experimental work to enzyme function and kinetics. You should have a solid foundation in chemistry and biotechnology, as well as both theoretical knowledge and hands
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address micronutrient