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proposed empirical material a work plan for the three years More information can be found here: https://www.cbs.dk/en/research/phd-programmemes/admission In addition to the project description, copies
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. The project description must include: a presentation of an original research question a description of the initial theoretical framework and method a presentation of the proposed empirical material a work plan
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
of Copenhagen (UCPH) and European Spallation Source. The European Spallation Source in Lund is a future large-scale research facility for neutron-based investigation of materials in a broad sense
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experiments and analyse interview, survey and classroom data, as well as curricula and language teaching/learning materials. WP4 will produce guidelines for students, teachers, teacher trainers and decision
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of impurities during transportation of compressed and liquefied CO2 under the impact of relevant impurities. The investigations must consider corrosion and lifetime estimation to qualify the materials used
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statistical modeling with clinical insight, aiming to improve risk prediction and inform sex-specific prevention strategies in atrial fibrillation patients. The research will be conducted in close collaboration
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are looking for motivated candidates within the field of quantum and classical computing, physics, material science, nanofabrication, electrical engineering or mathematics to join the Spin Qubit Team at NQCP
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for position”. We must have your application at the latest on 18-10-2026 at 23:59 (Danish time). Applications or other material received after the deadline will not be considered. Where to apply Website https
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental