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of statistical shape modelling. Position The project aims to advance personalized musculoskeletal care by transforming routinely available imaging data, such as 2D X-rays and increasingly common surface scans
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Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through
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related to staff position within a Research Infrastructure? No Offer Description Post doc: Leading the methodological and statistical development at the core of a large‑scale, innovative project to create
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statistical and geospatial analyses (e.g., using ArcGIS, SPSS, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across
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statistical software as well as analysis of biological signals) Main Research Field : Neurosciences or Medical Sciences Sub Research Field : Master level in Motor Sciences (Osteopathy)) Required educational
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Master's degree in linguistics, or another relevant master's degree You have experience with Praat You have a solid background in phonetics and/or sociophonetics You have some statistical literacy, esp. in
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estimation, and the detection and compensation of sensor drift and degradation. The candidate will develop data processing and modelling approaches combining signal processing, statistical analysis, and data
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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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17 Feb 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Other Criminology » Other Mathematics » Applied mathematics Mathematics » Statistics Sociology
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(an asset) • High proficiency in quantitative methods and statistical software (e.g., R) • Experience in open science practices. • Excellent communication skills in English (French is a plus) Note: Applicants