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methods with a focus on metrics and quantification of uncertainty in combination with interpretable and explainable AI. The candidate will be embedded in the research group of Dr. Helene Knævelsrud
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learning methods with a focus on metrics and quantification of uncertainty in combination with interpretable and explainable AI. The candidate will be embedded in the research group of Dr. Helene Knævelsrud
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, phone number: +47 928 47 663, e-mail: [email protected] Professor Ingunn Kathrine Wehus, e-mail: [email protected] Dr. Sigurd Næss, e-mail: [email protected] Dr. Eirik Gjerløw, e-mail
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: Professor Hans Kristian Eriksen, phone number: +47 928 47 663, e-mail: [email protected] Professor Ingunn Kathrine Wehus, e-mail: [email protected] Dr. Sigurd Næss, e-mail: [email protected]
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, Division of Laboratory Medicine, Institute of Clinical Medicine, University of Oslo. The position is available from March 2024 with a flexible start between March and September 2024. It will be located in Dr
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) or image models (e.g., DALLE, Midjourney), has on political attitudes, trust in democratic institutions, and the extent of civic engagement. The candidate will be supervised by Dr. Kunst (main supervisor
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/he will be co-supervised by Dr Nolwenn Briand on metabolism and adipose tissue research at the Department of Molecular Medicine. We seek a highly motivated candidate with some experience in either
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, CoPilot, MyAI) or image models (e.g., DALLE, Midjourney), has on political attitudes, trust in democratic institutions, and the extent of civic engagement. The candidate will be supervised by Dr. Kunst
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a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds. Contact persons: Inquiries about the position can be directed to Dr. Julien Resseguier
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at least one applicant from each of these categories to an interview. Contact information Inquiries about the position can be directed to Dr. Boccara [email protected] or Dr. Knævelsrud