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Equations) Programming and data analysis in Python Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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Computing (HPC) environments, using relevant coding languages (e.g. Bash, R, python, snakemake etc.); publishing research articles in peer-reviewed journals; experience in international research collaboration
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utilizing modern programming tools and languages tailored to the project's requirements (e.g., Python, JavaScript, Django, among others). The activities may also include testing and validation on both
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between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European Research Council’s Synergy
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate
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. Desired qualifications: Strong theoretical and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian
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background in statistics (a minimum of 60 ECTS in statistics). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam