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16 Mar 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Materials engineering Researcher Profile Recognised Researcher (R2
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evolutionary properties, or the study of multiplicity and binary interactions. The work may involve both participation in observations and analysis of archival data, as well as the development of dedicated
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6 Mar 2026 Job Information Organisation/Company Nantes Université Department LPG UMR-CNRS 6112 Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Positions PhD
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Monday 27 April 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409190/postdoctoral-resear… Requirements Additional Information Work Location(s) Number of offers
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good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits
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and/or intensive longitudinal data analysis is highly desirable. There is no preference for the candidate?s substantive research area. Brown University provides equal opportunity and prohibits
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
administrative data, survey data, and qualitative data gathered from fieldwork and interviews. Conduct high-quality research within the framework of the project, including the design, collection, and analysis
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Hands-on experience with materials characterization techniques (microscopy, mechanical testing, thermal analysis, spectroscopy) is highly valued Experience with image analysis, data processing, or machine
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of tools for the analysis and computational modeling of multimodal neuroimaging data, comprising resting-state EEWG and fMRI data