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are looking for a candidate with a PhD in epidemiology, biostatistics, data science, medical science, or a related field, with solid statistical skills and the ability to independently manage data from multiple
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Dec-25 Location: Boston, Massachusetts Type: Part-time Categories: Academic/Faculty Mathematics/Statistics
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PhD, Doctorate, or MD. - Strong statistical skills (e.g. experience in analysis and causal inference methods such as difference-in-differences, instrumental variables, and propensity score
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be supervised by Svenja Fischer, Ryan Teuling and Josh Ho (from ESG group). Where to apply Website https://www.academictransfer.com/en/jobs/357374/phd-candidate-incorporation-of-… Requirements Specific
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 8 hours ago
for some examples: https://www.demogr.mpg.de/go/career-development . For inquiries about the positions, please contact D. Susie Lee at lee@demogr.mpg.de . Back to list of open positions
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and
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PhD in a relevant field (e.g. political science, statistics, computer science, informatics, economics, or related discipline) with a demonstrated focus on forecasting, statistical modelling, and/or
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of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education/ Academic union
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: 280195600 Position: Assistant, Associate or Full Professor in Statistics Description: Open Rank. The Department of Operations Research and Financial Engineering (ORFE) at Princeton University invites