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The main research area will be within the field of problem based learning(PBL) in engineering education. The position will be related to the Aalborg Centre for Problem Based Learning in
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. The position is attached to the Section of Medical Biotechnology. Requirements: A master's degree in biotechnology or a closely related field is mandatory. A degree in Food Science and/or Technology is
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multimorbidity patterns in atrial fibrillation patients. The key responsibility of the position is to structure atrial fibrillation patient’s health data for machine learning algorithms(feature engineering
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keeping the data of each data source decentralized Design of query execution engines and optimizers for multimodal data stored in heterogeneous databases and knowledge graphs Design novel privacy-preserving
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this background to: Develop innovative decision-making frameworks for seamless integrations with operations research techniques and machine learning algorithms. Develop algorithms and engineer systems which enhance
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of Electronic Systems, and by Professor Stefania Serafin, Head of Multisensory Experience Laboratory, Dept of Architecture, Design and Media Technology(Copenhagen campus). The PhD project is in very close
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qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar solid mathematical and analytical skills experience in programming, e.g., in C++, Python
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the surrounding. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
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with starting date 1 September 2024. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in
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of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a