52 applied-physics-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Denmark
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challenges regionally, nationally and globally. The department covers research areas from physics to production engineering, and hosts a broad range of activities spanning fundamental science and applied
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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Sensing as per October 1, 2026, or as soon as possible thereafter. The position is available for a period of 12 months. In electronic engineering, Aalborg University is known worldwide for its high academic
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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relevant to the subject area: • Victimization and offending • Hybridization of crime • Illicit online markets The research projects may address national or international challenges and should employ
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to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter. Your work tasks We are looking to recruit an excellent postdoctoral fellow to apply
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical
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qualifications at PhD level, in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, i.e. in CT-imaging and
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soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg University is known worldwide for its high academic
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management