Sort by
Refine Your Search
-
The appointment as PhD fellow will be a fixed term(3 years), full-time position, which will include both research and teaching activities. The position will primarily be attached to the section
-
The position will primarily be attached to the section Psychology of Culture, Humanity and Education(Psyche), which focuses its research on the following main themes: General psychology Theoretical
-
, research-based education, public sector services and knowledge collaboration. AAU educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding
-
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
-
, research-based education, public sector services and knowledge collaboration. AAU educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding
-
of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from
-
Technology at the Faculty of Medicine, which does multidisciplinary research and teaching in the area of health science and technology(e.g. medicine and biomedical engineering). The strategic focus
-
student is expected to contribute actively to the research and teaching activities of the IKE research group. In addition to writing scientific articles, the PhD student is expected to collaborate with
-
Department of Health Science and Technology carries out multidisciplinary research, teaching and dissemination within biomedical engineering, sports science and medicine. The department has
-
already have a Master education) in areas related to(but not limited to) Bayesian deep learning, neural architecture search strategies(e.g. reinforcement-based), confidence estimation in deep neural