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are differentially private algorithms for statistical model parameter estimation under different trust relations. About the project The position is funded by the Norwegian Research Center for AI Innovation and will be
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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» Other Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Norway Application Deadline 10 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week
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of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a requirement, and knowledge
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and range shifts from mountains worldwide Participate in the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely
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within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a requirement, and knowledge in the centre’s research areas. The applicant
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Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Norway Application Deadline 1 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job
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multivariate data analysis, statistics, numerical simulations, and programming. Skills in academic writing illustrated by published works. Skills in Norwegian or other Scandinavian languages will be an extra
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qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology