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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD student position in Computer Science with a focus on visual language
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personalized rehabilitation strategies. As a PhD student, you will develop a prototype system based on emerging biomedical radar technology to enable accurate fall risk assessment and personalized rehabilitation
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, master's, and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society. We are announcing one PhD position
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Subject description At Lund University, we are announcing the position as DDLS PhD student in Data driven
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for Spectroscopic and Acoustic Imaging (https://www.photoacoustics.lu.se/ ). The doctoral student will gain knowledge in optical measurement methods, medical image processing, development of computational models, and
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network