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to develop and validate models for evolutionary and ecological hologenomics at the Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen. Our group and research The Center
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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dynamic response simulations of flexible power cable between two anchored floating bodies under realistic environmental conditions, establishing the design limits for safe, reliable, and cost-efficient
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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of October 2026 or as soon as possible thereafter. Information about the project can be found at https://psychology.ku.dk/coinact/our-research/research/ Job content The PhD student will be part of a project
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https