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security, privacy concerns and more. Working environment The Health Data Lab (HDL) is a research group at the Department of Computer Science at UiT - The Arctic University of Norway. HDL’s mission is to
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Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual agreement. The appointment is a
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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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(SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in the Climate Health project at the HISP Centre. Starting date as soon as possible
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of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group
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technology, ethics and machine learning, in new and unique ways. Focus of Integreat is to develop groundbreaking methods and theories, and therefore solving fundamental problems in science, technology, health
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to Lifekeys , a digital service for the preservation of personal mental health and well-being salary in accordance with the State Salary Scale, l.pl 17.510, code 1352, NOK 590.000 - 680.000 gross per year. A
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, technology, health and society, and contribute to make Norway a world leading country in AI. We are looking for an enthusiastic and self-motivated person with a background in philosophy of science and
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organisational structure. access to Lifekeys , a digital service for the preservation of personal mental health and well-being salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 541 800
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University of Norway. The research school has a focus on renewable energy, food security, health and welfare. “Changing Arctic” will collaborate with actors in private and public sector. The research outcomes