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for a DDLS PhD position in Data-driven precision medicine and diagnostics at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a leading position
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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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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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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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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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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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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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% departmental and teaching duties at BSc, MSc, and PhD levels. As a WASP-funded position, we are interested in applicants with strong potential connections to the WASP program in any of the areas of AI and
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program! At Karolinska Institutet, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology. Data driven cell and molecular biology covers research that fundamentally