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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
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countries in Southeast Asia representing a main innovation hub and important market (Singapore) and a late industry entry and emerging market (Vietnam). The focus on products and processes may also lead the