71 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Open-Polytechnic" positions at Aalborg University
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Transformation for Education, Work and Professional Practices is open for appointment from December 1st., 2026 or as soon as possible thereafter. The position is a full-time fixed term of 3 years and includes
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desuden søges oplysninger om ph.d.-uddannelsen hos ph.d.-koordinator Thomas Neumann, [email protected] . Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Det
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department of
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PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Apply Vacant position PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Aalborg
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environment where research, teaching, and collaboration with external partners are closely linked. The position is based at the Aalborg campus, and you will be part of an international department working
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på
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interests. Scientific dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the
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One or more PhD positions in Using Large-Scale Data to Improve Precision Medicine in Psychiatry Apply Vacant position One or more PhD positions in Using Large-Scale Data to Improve Precision Medicine
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focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python