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20 Feb 2026 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Electrical engineering Physics
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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is embedded within the Laboratory of Geo-Information Science and Remote Sensing (GRS), which is led by Prof. Kirsten de Beurs and Prof. Sytze de Bruin Where to apply Website https
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The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 2-year position as postdoc in satellite remote sensing and land-use modeling of grassland
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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across diverse disciplinary discourse communities. As members of our collaborative Writing Program, Postdocs may participate in activities that support their teaching, research, and professional
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career in R&D or academia? Then we have multiple opportunities! We invite applications for multiple 2-year Postdoc positions that will contribute to the development of a new generation of embedded
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About Us The Ocular Cell and Gene Therapy Group is seeking to appoint an outstanding, skilled and ambitious Research Assistant to contribute to a programme of basic and translational research
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision