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captioning. Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods and theory. Development of computer vision methods
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by
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National Eye Institute, National Institutes of Health | Bethesda, Maryland | United States | 2 days ago
for Tenure-Track and Tenure-Eligible Investigator positions in its intramural research program. The selected candidates will establish and lead independent and collaborative research programs that employ state
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PhD students with Imageomics research with the goal of studying animal behavior using ML and computer vision techniques. The Research Technician will be trained to annotate drone videos of wildlife to
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Assistant Professor Maaike Van Eeckhoutte, Associate
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engineering. The department has state-of-the-art facilities in computing and supercomputing, computer vision, optics, microelectronic fabrication, unmanned aircraft systems, and underwater vehicles. Excellent
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Vesteghem, [email protected] , tel.+45 6166 7681. Qualifications You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data
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). Please also provide information for two referees (this does not have to be your PhD supervisor but should be able to talk directly to your research). The position will involve working with machine learning
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aligned with the overall goals of the advertised program. You should apply if We encourage those with image-based machine learning experience to apply. It is expected that the applicant will have a PhD (or
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): Essential: PhD (or equivalent experience) in Computer vision or a closely related discipline Significant postdoctoral research experience in cardiac image analysis Knowledge and experience (will be assessed