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problem-based learning, with a focus on interdisciplinary collaboration between academia and industry to generate solutions to practical challenges within the sector. Part of the project’s outcomes will
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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for a curious and engaged colleague with a genuine interest in the research topic. You enjoy working analytically with quantitative data, approaching research questions thoughtfully, and learning new
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collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How to apply Your application must include the following
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to multi-task learning for multi-cancer risk prediction. To develop these models, you will have access to unique biobank data containing genetic information linked to Danish registry data for approximately
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to work independently and systematically, as well as skills for planning and administration of tasks and projects. You may not have such experience already but you should be prepared to learn fast
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on Problem Based Learning, with projects making up half the teaching at all semesters. Your competencies A relevant educational background within biology or a similar area is required. We seek a candidate with