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and industrial partners in Denmark and internationally. Your primary responsibilities will include: Establishing and leading an independent research agenda and driving its realization through a
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contact the principal supervisor. General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/ The University of Copenhagen wishes
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innovations in the bio/pharma domain can be translated into industrial, commercial, or societal value. Information about the course can be found in the DTU course catalogue: https: //kurser.dtu.dk/course/22179
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-robotics-and-engineering and the Center for Rehabilitation Robotics: https://vbn.aau.dk/da/organisations/center-for-rehabilitation-robotics It is expected that the candidate will learn/master Danish at a
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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/biomedicine to physics, chemistry and engineering. The candidates’ main workplace will be either at the University of Copenhagen (UCPH), the Technical University of Denmark (DTU) or the Danish Cancer Institute
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of our research-based teaching portfolio at the bachelor, master, and PhD levels. You will contribute to the culture of collaboration at the department, and you will participate actively in joint
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between laboratory operations, quality systems, and EU stakeholders. Your main tasks will include: Planning and execution of EURL-AMR activities under mandates from the European Commission, ensuring
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research in a wide range of mathematical disciplines and has three study programmes: mathematics (including a specialization in statistics at the master level), mathematical economics, and mathematics
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
children and young adults. Depending on the candidate’s scientific profile and interests, the position may also involve primary data collection, such as extraction of medical chart data using language models