153 evolution "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Denmark
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, about 160 staff and PhD-students are working at the department. Further information can be found at https://envs.au.dk/en/. The Environmental Microbiology section conducts research and science-based
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for professional and academic development. As part of the three-year PhD program, you will conduct independent research under supervision and complete PhD courses corresponding to approximately 30 ECTS. Courses may
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candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience in theory, development, or usage of formal methods. Fluency in English is
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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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collaborators. Contribute to research on the development of nutritional strategies for sows and their piglets, targeting improved sow endurance and piglet survival and growth during the suckling period. Teach on
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XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https
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. The position has a duration of up to one year. The hired candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP, https://acp.sdu.dk ), an ambitious group
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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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perceptions of inequality and democratic support. The postdoctoral researcher will contribute to the development of EDGE’s theoretical framework on how objective and subjective economic inequalities shape