11 postdoctoral-biomedical-signal-processing PhD positions at University of Oslo in Norway
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Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration with the Epigenomics of Breast Cancer research group at Oslo
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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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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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completed a Master’s degree (120 ECTS) or equivalent in in Demography, Economics, Sociology, Health Economics, Psychology, or other relevant field of study. Grade point average of A or B on the ECTS scale in
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placed on academic qualifications, the candidate’s motivation, and personal suitability. Interviews will be performed as part of the selection process. Application with attachments must be submitted via
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normal processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study
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knowledge in order to understand normal processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and
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(Vietnam). The focus on products and processes may also lead the project to other Southeast or Northeast Asian countries. The full project description can be provided upon request, please contact project
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powerful philanthropic foundations globally partner and use coalition-building and networks strategically to influence, and potentially interfere in or circumvent, democratic processes and global governance