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and society. We are a major part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions
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within the Center CLASSIQUE. Applicants are required to submit, along with their application documents, a one-page statement, indicating their vision for research to be conducted in relation to the project
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application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas
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their application documents, a one-page statement, indicating their vision for research to be conducted in relation to the project topics outlined above. Other relevant documents The application must be submitted via
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging
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are a major part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions together. Our mission
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student shall be assessed at regular points in time. How to apply Your application must include the following: Application, a motivated statement describing interest, vision, and qualifications
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are a major part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions together. Our mission
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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their application documents, a one-page statement, indicating their vision for research to be conducted in relation to the project topics outlined above. Other relevant documents The application must be submitted via