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fundamental to achieve the goals of the European Green Deal. Although offshore wind energy has an important degree of maturity, this technology requires to experiment a change of paradigm to guarantee a
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a prototype for identification of critical locations in steep rivers in regard to flash floods was developed. The prototype is implemented in NorKarts GIS application. The project revealed a large
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characteristics Good at anticipating problems and identifying logical solutions as well as contradictions and inconsistencies Develops effective, sensible and practical solutions to problems Sees the big picture
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affiliated with the Multimodal Imaging Group at the Department of Psychology and will be integrated with the Centre for Precision Psychiatry (https://www.med.uio.no/klinmed/english/research/groups/precision
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genetics. Experience in histology, immunostaining and imaging (e.g. confocal microscopy). -------------------------------------------- PLEASE NOTE: For detailed information about what the application must
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Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications
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analysis methods for image data or time series data. Personal characteristics Willingness to learn new fields in a multidisciplinary research environment. Excellent communication skills. Drive to transition
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University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Good experimental skills will be considered an advantage Experience with image processing will
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to develop generative AI methods that are applicable for data types beyond text and images (e.g., dynamic graphs), and the successful candidate will be given high level of independence when it comes