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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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PhD candidate and contribute to research on how brands connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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for 2-3 PhD students interested in using real-world data to inform the pricing, reimbursement, and optimal use of healthcare technologies. This unique opportunity allows for cutting-edge research in
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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, environmental, climate and animal welfare impacts, the idea that alternative proteins can replace meat is generating hype, optimism and substantial investments. Whether involving insects, plants, lab-grown meat
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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of dehydration using a low-power radio-frequency (RF) sensor. The research objectives include design optimization to improve wearability, robust data acquisition using machine learning and establishing correlation
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Rotterdam. She is intrigued by the lives and relationships of teenagers, and how parents can optimally contribute to their child's positive development, mental health and well-being, despite their decreasing