14 image-processing-and-machine-learning PhD positions at University of Oslo in Norway
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assaulting them. Second, technology has contributed to the creation of new forms of sexual harm, such as image-based abuse and deepfake technology. The implications of these developments are twofold. First
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image-based abuse and deepfake technology. The implications of these developments are twofold. First, the use of technologies as part of harmful sexual conduct offers new possibilities to investigate and
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the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
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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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-minded, well organized, looking forward to learning and developing new techniques and has good communication skills. Employment in the position is based on a comprehensive assessment of all qualification
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(nina.reiners@nchr.uio.no ). For questions about the recruitment system and process: Administrative Manager HR Siri Martenson (siri.martenson@jus.uio.no ) via Unsplash About the University of Oslo The University
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responses and recovery in humans. To this end we combine data from psychopharmacological experiments in healthy participants and real-world clinical data from surgery patients for a more in-depth
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to an interview. Contact information For questions about the position: Professor Nina Reiners, Norwegian Centre for Human Rights (nina.reiners@nchr.uio.no ). For questions about the recruitment system and process
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healthy participants and real-world clinical data from surgery patients for a more in-depth understanding of stress and resilience mechanisms. The project is an interdisciplinary effort bridging psychology
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structured candidates with excellent laboratory skills and excellent collaborative qualities. The successful candidate is positive-minded, well organized, looking forward to learning and developing new