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There is a huge potential for using artificial intelligence(AI) for improving diagnosis and treatment of many diseases. Large amounts of clinical data are needed to train useful AI systems. However
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of novel computer vision methods capable of robustly detecting AUs. Next, the focus will be on novel AI methods for classifying normal vs. pain vs. stress faces. Lastly, head pose detection of horses in
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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
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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
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institutions, private research enterprises etc. General information It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at Doctoral School of the Faculty
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and speed. Theses analyses should mainly draw on Danish register data. The PhD student is affiliated to the IKE research group , Aalborg University Business School, Denmark. The focus of the research
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the department, designated section, study programs as well as with colleagues at other departments. For information on the research profile of the department etc., please see the department’s website(below). Who
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the department, designated section, study programs as well as with colleagues at other departments. For information on the research profile of the department etc., please see the department’s website(below). Who
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The Center for Molecular Prediction of Inflammatory Bowel Disease(PREDICT) is looking for appointing a talented PhD student to conduct research at the intersection of the medical and data sciences
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. Interviews are planned to take place by the end of June. For further information about stipends and salary as well as practical issues concerning the application procedure, please contact Ms. Annemarie