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panel of these proteins reflected future CVD risk, as determined by a clinical risk score. In this project, we will analyse a replication cohort, to verify the associations identified in the original
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to be delicately balanced between tolerance to food and activation towards unwanted intruders. The common belief is that our intestines are the main drivers of building tolerance towards ingested
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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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experience in the above-mentioned topics. This position requires a Norwegian master's degree in physics, mathematics/statistics, computer science, or similar, or a corresponding foreign master’s degree
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financed by the RCN (Research Council of Norway) funded project “RELAY: Relational Deep Learning for Energy Analytics ”. The main focus of the research will be to advance the state-of-the-art of machine
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@uit.no Qualifications Required qualifications: Master's degree, preferably within cell biology/medical biology. Qualification with a master’s degree is required before commencement in the position. You may
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documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's degree in physics
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of civic engagement. The candidate will be supervised by Dr. Kunst (main supervisor) and Dr. Brandtzaeg (co-supervisor) as a part of an interdisciplinary team. Our department is committed to offering our
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maximum of one page. Qualification requirements We are looking for applicants with a strong academic background who have completed a five-year master degree (3+2) within the fields of human/economic
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qualifications: Master's degree, preferably within cell biology/medical biology. Qualification with a master’s degree is required before commencement in the position. You may still apply if you are in the final