32 evolution "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships in Denmark
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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level, from the quantum processor to the quantum-classical interface all the way to quantum algorithms and applications. The vision of the programme is to enable the development of fault-tolerant quantum
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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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candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. Fluency in English is required. Hosting environment FORM is embedded in the Section of Artificial
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are expected to build knowledge of external research funding opportunities and funding strategies as part of their academic development. PhD students carry out an independent research project under supervision
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are expected to build knowledge of external research funding opportunities and funding strategies as part of their academic development. PhD students carry out an independent research project under supervision
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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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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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to realize high-fidelity quantum gates as a foundation for quantum error detection and correction. The successful candidate will contribute to multiple stages of the technology development cycle, including
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within experimental quantum optics and concerns the development of spin-photon interfaces for high-fidelity entanglement generation and proof-of-concept demonstrations of entanglement fusion. Who are we