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Field
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level in a field relevant to the doctoral subject. The applicant must also be able to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical
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programming. The candidate must be independent and fluent in English both oral and written. The position is for a PhD student under the 5 plus 3 program, read more here . For more information about the position
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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We are looking for an outstanding PhD student with either strong background in computational modelling or significant experience of laboratory work, who is keen to work at the interface between
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence , RAI, subject at the department of Computer Science and Electrical and Space Engineering at Luleå
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and analysing general Computer Vision methods, using real-world image data as a challenging experimental setting. Research focus The PhD will address open research questions in Computer Vision related
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, predict, and ultimately treat thrombotic diseases. Each DC will contribute a unique piece to this puzzle, supported by: A full PhD program at a host institution Secondments at academic, clinical and
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and NTNU is at the same time an application for admission to a PhD program at the institutions. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as
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Zero technologies such as electrified transport, power electronics and energy conversion. Vision We are seeking a highly motivated and ambitious PhD researcher who is excited by fundamental materials