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competence You have Completed an academic degree at the candidate or master level in a STEM discipline (e. g., Chemistry, Biology, Physics, Computer Science, Human-Computer Interaction, IT Product Development
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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algorithms and all the way to areas of use cases/applications of quantum algorithms in chemistry and life-science. Applicants can have a background in Computer Science, Physics, Chemistry, Mathematics
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, you must submit a project description. The description should outline the research questions, theoretical considerations, methodological approach, relevant literature, and a proposed timeline. The
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of abstract systems and structures. The majority of the work will be theoretical, but for certain problems it may be relevant to set up simulations in a quantum network simulator such as NetSquid or Q2NS
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provide insight into how ports and their partners work to make new strategic roles operational in practice. Theoretically, it will contribute to understanding how strategic collaborations are developed and
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regard to methodological and theoretical approaches, and we welcome projects that incorporate artistic, practice-based, analytical, or interdisciplinary elements. The PhD student is, in close dialogue with
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and knowledge exchange. As part of the application, you must submit a project description (minimum five pages) The description should outline the research questions, theoretical considerations
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learning spaces can bridge the on-campus social learning moment with extended, individualised learning in other temporal and physical contexts. The project is centrally concerned with how generative AI tools
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theoretical research, four key themes underscoring life on earth. Specifically, these are: What is the relationship between a host’s genome and the functional and taxonomic makeup of its associated microbial