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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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complete picture of fish habitat use and connectivity. The PhD is part of the section for Ecosystem based Marine Management and the Marine Habitats research group, as well as several synergistic initiatives
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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The UCAM-SENS unit is seeking a highly motivated PhD student to join its cutting-edge research in Bioelectroanalysis. This position focuses on the development of advanced electrochemical sensing
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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Pajcini, Ph.D. in the Department of Pharmacology and Regenerative Medicine at the University of Illinois in Chicago. The lab studies the processes that lead to the development and differentiation
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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the ITN network. Terms of employment We offer a PhD position within our groups at KU Leuven, situated within the broader ITN network. Application procedure For more information please contact Prof. dr
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spatial distributions of active phases across multiple length scales. The PhD student will collaborate with international partners to study the evolution of crystalline and amorphous domains in the hybrid
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MSc/PhD Position at the Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
Dr. Deepak Kaushik, Assistant Professor at the Faculty of Medicine, Memorial University of Newfoundland (MUN, St. John’s, Canada), is currently recruiting MSc/PhD fellows to join a CIHR-funded