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2025 the DDLS Research School will be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be
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research school organized by WASP-HS , which is a national research program in Sweden. The vision of WASP-HS is to foster novel interdisciplinary knowledge in the humanities and social sciences about AI and
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accreditation; Provide innovative and successful academic leadership and vision in instruction and programme development; Provide proposals to, and receive guidance and recommendations from the President
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accreditation; Provide innovative and successful academic leadership and vision in instruction and programme development; Provide proposals to, and receive guidance and recommendations from the President
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qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a
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innovative environment. Qualifications The Staff Scientist should hold a PhD in Limniology or similar. The ideal candidate should have a strategic vision and initiative for the development and implementation
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to the empirical nature of the project or at least reached within 2 years after starting the PhD program. We are looking for you who are independent, self-driven, and analytical, with an ability to manage complex
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
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2025 the DDLS Research School will be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas