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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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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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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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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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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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or analysis of facial expressions is an advantage. The ideal candidate must have excellent programming skills and experience with deep learning frameworks. Given the interdisciplinary character of AI:EMBODY Lab
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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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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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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