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, strong record of research publications, and demonstrated potential to excel in scientific research. You are expected to teach and instruct both graduate and undergraduate students as well as supervise
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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 research infrastructure and lab facilities to conduct
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or interest in runtime reconfiguration techniques and system safety considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an
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, and 1500 students in our bachelors and masters programmes. We hold state of the art research and we offer state of art learning opportunities in our teaching facilities. At HST, you have the chance to
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students, and about 40 % 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
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Fully Funded three-year PhD in multi-level material cycles and market dynamics, in the MSCA Doctoral Network QuiVal , where we learn, ideate and reimagine real estate value and valuation practices by
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, brain analysis, 3D movement analysis, respiratory and circulatory examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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mass spectrometry and machine learning now allow us to unravel this “dark proteome.” This position aims to use state-of-the-art AI-guided proteomics and systems biology approaches to map protease