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bioprocess optimization. The successful candidate will contribute to the development of sustainable bioconversion platforms for the transformation of biogas-derived carbon into amino acid-enriched biomass
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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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green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control
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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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devices Optimization of waveguides for photon pair sources Design and characterization of sources of entangled quantum states. SiCPIC PhD student Qualifications Candidates must have a two-year master's
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specifically you will be involved in assessing the dietary intake of iron and zinc in human volunteers eating either a habitual Danish diet or an optimized meat- or plant-based diet. Furthermore, you will be
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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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design of experiments PhD enrolment: Technische Universität Berlin DC13: Multi-Criteria Decision Making (MCDM) and Multi-Objective Optimization (MOO) to guide production of SCPs PhD enrolment: Tallinn
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-on experience in advanced enzyme technology. It is also expected that you have a strong interest in the novel type of applied enzyme technology in focus in the PhD project, which entails reaction optimizations