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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical
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of the position. You will teach and supervise across several of our programmes, including Medialogy, Robotics, Artificial Intelligence Engineering, and Artificial Intelligence, Vision and Sound. Your teaching will
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also participate in the department’s efforts to secure external research funding, and your responsibilities will include exploring opportunities in this regard. You will teach and supervise students
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job responsibilities As Associate Professor of Health Services Research in Prehospital Emergency Medical Services your primary tasks will be research and research-based teaching. You will teach and
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
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machine learning venues (e.g., NeurIPS, ICLR, CVPR) and validate research on state-of-the-art edge computing testbeds. Project description For technical reasons, you must upload a project description
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, professional networks and pedagogical upgrading. As tenure track assistant professor your primary tasks will be research and research-based teaching. You will teach and supervise students at bachelor’s and
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from