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Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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Post-Training Techniques: Exploring and designing post-training strategies (e.g., Supervised Fine-Tuning, Reinforcement Learning, or novel alignment protocols) targeting Danish and other Nordic languages
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and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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tasks will consist of: Independent research of high international quality, including publication. Guidance and supervision of Bachelor’s and Master's degree students, as well as supervision of PhD
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contributes to developing the academic field in question. Your qualifications To qualify for the positions, you must have been awarded the degree of PhD or have acquired equivalent qualifications. Who we
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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research centres: Copenhagen School of Energy Infrastructure (CSEI) and Pension Research Centre (PeRCent). Core research areas of the Department of Economics are: Behavior, Incentives and Economic Design
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is a natural part of the position. Qualifications PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred A proven publication record in international peer-reviewed
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, specifically the biomedicine modules. Your profile as postdoc We seek a candidate at PhD level or equivalent, with a background in biology, animal science, veterinary science, or similar with special interest in