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process modelling, See further information at https://endure.dtu.dk/ and https://cordis.europa.eu/project/id/101227649 . Responsibilities Your overall purpose will be to develop, model, and validate a
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Professorhip grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a PhD fellow your tasks include: Conduct research under the supervision of senior CNAP staff members
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
cross‑institutional and we place a strong emphasis on excellent communication skills in English at all levels. The PhD student must take part in undergraduate teaching. You must have a two-year master's
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at Copenhagen Business School invites applications for a PhD scholarship in Statistics. The scholarship is available under both the traditional three-year PhD scheme and the 4+4 PhD scheme. We seek a highly
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that supports student agency, fosters critical engagement, and enhances conceptual understanding among first-year programming students. The work will require close work with teachers and students from both
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August 1st, 2026, or soon hereafter. The position is a three-year role, located at the Department of Architecture, Design and Media Technology at Aalborg University's Technical Faculty for IT and Design
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-Petersen, Department of Biology, E-mail: rhpetersen@bio.ku.dk , Direct Phone: +45 26941565. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme
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the Department: About the department – University of Copenhagen Required qualifications As an applicant you must have: a two-year master's degree (120 ECTS points) in Nutrition or a similar degree at
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Resources, aab@ign.ku.dk , tel: +45 29921742 Job description The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are: To manage and carry through your research project
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical