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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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dynamic team consisting of researchers, engineers, and students from the Universities of Oslo and Bergen as well as SINTEF, and be part of the much larger ATLAS pixel collaboration with participants from
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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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migration. PROBONO seeks to understand these dynamics and their implications through three key questions: 1. How does Big Law do pro bono? 2. How do global power shifts affect pro bono? 3. What are normative
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by developing innovative methods at the interplay between theoretical and computational aspects, within a collaborative and supportive academic environment. You will be part of a dynamic group of early
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they release their toxic cargo to kill the cancer cells. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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violence; 3) peopleʼs knowledge, attitudes and conceptualizations of the use of law in relation to technology-facilitated sexual harms. The advertised position is part of work package 3. Applicants do not
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, click "Apply for the position". When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no . If your education results are not available through
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include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse immunological assays, advanced flow cytometry, fluorescence