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Field
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2026 - 00:00 (UTC) Country Australia Type of Contract Other 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
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A postdoctoral position, funded by the “From Solar Jets
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
obtained before the employment start date; Experience in conducting high-quality quantitative research, with a strong command of statistical analysis of survey data, statistical programming (R/Stata), and
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Apr-26 Location: New York, New York Categories: Academic/Faculty Internal Number: 184151 The NYU Program of
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deglaciation. Duties include but are not limited to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using
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of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and
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conditions. This task will include the extension of recent work on model-order reduction applied to quantum circuits. The extension will cover quantum programs with loops and various noise effects. Task 3
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highly collaborative team and translational research programs focused on mucosal biology, aging, infectious diseases, and cancer-associated tissue remodeling. Our laboratories integrate molecular, cellular
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably