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. Below, intended research objectives are listed, but the list is not exclusive. We expect the qualified candidate to further define the plan for the PhD within the first three months of employment
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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fieldwork (data collection); the ability to plan, coordinate and conduct field experiments. Work in research teams (e.g. during the master’s degree work). Experimental design related to aquatic environmental
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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electricity markets as well as embedded DSO-TSO coordination. We foresee two secondments during this PhD trajectory: subject to confirmation, this would consist of an academic secondment to KU Leuven, Belgium
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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corresponds to the Danish system. (For reference, see: https://ufm.dk/en/education/the-danish-education-system/grading-system/?set_language=en ) The three-year PhD programme at CBS allows you to conduct
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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
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of nature. Requirements and programme structure PhD candidates follow an individual PhD plan including course work, conference participation, and teaching. One semester is typically spent at another research
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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic