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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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technologies for real-time health monitoring and diagnostics. About UCAM-SENS UCAM-SENS is a top-tier research unit dedicated to advancing (bio)electroanalytical sensing for digital transformation in healthcare
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of Computer Science and Communication. The position is part of the research initiative “The Digital Society” at Østfold University College. The position is focused on researching the integration of Artificial
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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) enriches people and their environments through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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) enriches people and their environments through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities
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, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self