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18 Apr 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Economics and Statistics Research Field Economics Researcher Profile Recognised Researcher (R2
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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skills Desirable: Working knowledge of statistics and database management Additional language skills, Arabic and French are desirable Supervisory experience Where to apply Website https
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, statistics, and data science with strong connections to engineering, natural sciences, and industry. About the research project We are looking for a postdoc in life science artificial intelligence (AI
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increase coral restoration success. The postdoc will be involved in ongoing projects evaluating the efficacy of UZELA (Underwater Zooplankton Enhancement Light Array) in coral restoration and the development
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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 25 days ago
(are) filled. https://scienceapps1.carleton.ca/fields/postdoc/ Accommodations and Accessibility Should you require a copy of this posting in an alternate format, please contact us as soon as possible
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 16 days ago
» Veterinary medicine Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 22 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full
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, 3348444290 Email: Postal Mail: Auburn University Department of Mathematics & Statistics 221 Parker Hall Auburn, AL 36849 Web Page: http://www.auburn.edu/academic/cosam/departments/math
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, Statistics, Financial Mathematics, and Theoretical Physics. Data science and modelling constitute a key research area within these research groups, which maintain active collaborations both within King’s and
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We