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-statistics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294741/phd-research-fellow-in-st… Requirements Research FieldMathematics » StatisticsEducation LevelMaster Degree or equivalent
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. Candidates must have a PhD degree and preferably postgraduate degree (or equivalent) in Applied Mathematics or Statistics, and excellent communication and presentation skills in English. Experience
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community visit: https://greateriowacity.com/build/area-advantages/ The position will begin in Fall 2026, with flexibility in start date based on candidate availability. The initial appointment is for 1 year
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monitoring of plastic pollution across riverine, coastal, and urban ecosystems, strengthened by both scientific and citizen-science methodologies. Where to apply Website https://www.ftmc.lt/phd-admission-and
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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found here: https://www.fields.utoronto.ca/about/sponsors . You are encouraged to apply directly to these other institutions as well. PhD students are encouraged to include expected completion dates in
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Researcher (R1) Positions PhD Positions Application Deadline 21 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 19.5 Offer Starting Date 1 Jul
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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The postdoctoral associate will receive structured mentorship and will be supported in: Developing an independent line of research in statistical machine learning and data science Publishing first-authored
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, statistics or econometrics; Person with a status of PhD student of Doctoral School in the field of social sciences in the disciplines of economics and finance or management and quality is expected; Specific