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impact? We are currently seeking a/an University Assistant postdoctoral 37 Faculty of Business, Economics and Statistics Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc
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at the University of Helsinki, Sex Differences in Immunity, led by Dr. Avila, which brings together researchers across evolutionary biology, immunology, genomics, demography, and statistics to bridge evolutionary and
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studies. Lead secondary projects applying advanced quantitative statistical analysis to study DNAm signatures, sensitive developmental periods, and subsequent depression risk. Participate in projects using
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Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
different policies on market outcomes, such as EV subsidies, domestic content requirements, trade policies, amongst others. Recent PhD in Economics (or related discipline) with a clear interest in mining and
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background in statistics, data analysis, research measurement tools, and educational research methods is desired; Prior experience in working with children and knowledge in music and sports would be
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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under study, i.e. Brussels, Amsterdam, Barcelona, and Thessaloniki; Develop comparative indicators of urban eviction rates; Conduct advanced statistical and geospatial analyses (e.g., using ArcGIS, SPSS
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study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models