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Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5138-NEDKAC-009/Default.aspx Work Location(s) Number of offers available1Company/InstituteArchéologie et
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key responsibilities will be to: work on an ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods
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an emphasis on technology, data science and the humanities. For more details, please view https://www.ntu.edu.sg/medicine . We are looking for a Research Fellow to conduct AI for medicine research. The role
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE POLITICHE E SOCIALI | Italy | 20 days ago
); familiarity with quantitative analysis software is also desirable. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research grants fill out
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support trend analysis. Use demographic methods (e.g., projections, life-tables, birth-interval analysis), describe, analyze, and evaluate population estimates and trends Conduct statistical analyses using
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the enigma of the stećci tombstones(STONE). This position offers a unique opportunity to shape cutting-edge geoarchaeological approaches to medieval landscapes, integrating micro-scale sediment analysis with
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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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metagenomics), environmental geochemistry and mineralogy, bioinformatics for DNA sequence analysis. The candidate should have a taste for team and interdisciplinary work and be familiar with the latest
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Department: Division of Enrollment Management Classification: Info Technology Spec 2 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location
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the other activities within the GOSS group and more broadly within QDLight, notably to benefit from the theoretical expertise required for the data analysis. This work takes place within the GOSS group