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) for the master's thesis according to the Danish 7-point grading scale (https://ufsn.faellesweb.dk/english/education/recognition-and-transparency/ ) have a weighted grade point average of at least 8.2 on the Danish 7
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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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-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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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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at the department. The main supervisor will be Professor Karsten Rottwitt, DTU Electro. Responsibilities and tasks Research into generation of photon pairs and entangled photons, using four wave mixing. The overall
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on different aspects of AI, with main focus on visual data. You may read more about VAP Lab, including current projects and members, here: https://vap.aau.dk/ The candidate will also be part of the Pioneer
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potential binders. Your primary tasks will be to: Purify SVMP’s from snake venoms. Discover nanobodies against SVMP’s by phage display selection. Design and express binders against SVMP’s. Characterize
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. The duration of the position is three years. The PhD stipend is available within the general study program "Computer Science". Your work tasks The main tasks for this PhD project consist of requirements analysis