35 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Aarhus University in Denmark
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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Department of Electrical and Computer Engineering - Software Engineering & Computing systems - Faculty: Technical Sciences Deadline10 Aug 23:59 CEST Expected start 1 Nov Department of Electrical and
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should hold a PhD degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar. Required skills: Good programming skills in C
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, computer engineering, geoinformatics, computer science, or a related field with a focus on remote sensing and/or machine learning Documented experience with deep learning techniques and model development
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computational humanities audiences. Qualifications Applicants should: Hold a PhD or equivalent qualifications in computational history, computational archaeology, computational social science, cultural evolution
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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. theses at the interface between structural engineering and machine learning. You will disseminate your research through peer-review publications and participation in international conferences. You will
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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, management, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken
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, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken and written English