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Field
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aligned with the job role A record of outstanding research, as evidenced by software outputs, and other scholarly measures of impact. Having published in academic journals is a bonus Strong demonstrable
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data and/or a strong background conducting qualitative research, including experience with in-depth interviews, ethnographic observation and analytic software (such as MAXQDA, NVivoor Atlas.ti
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library archives). * Digital Research Tools: Proficiency in bibliographic management software (e.g., Zotero, Mendeley), specialised databases, and potentially digital humanities tools. * Scientific Writing
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Information Modeling (BIM) and energy modeling software. Data Science Proficiency: Knowledge of data modeling, ontologies (RDF/OWL), or semantic web technologies is highly desirable. Programming: Strong
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research methods and a strong interest in applying these skills to decision problems. Having experience with statistical software is a pre. In addition, you should possess strong communicative skills in
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are validated on mock-ups and artworks, showcased via AR exhibits at partner museums, and shared openly (data, software, DTs) through European platforms. The Centre for Research and Restoration of the Museums
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management.•Excellent results in prior studies are an asset (cum laude — distinction, or higher).•Experience with optimization software (such as Gurobi, CPLEX, or similar) and/or programming languages (such as
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in
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software such as SPSS, Stata, and/or R is required. Research experience, a research master’s degree, pre PhD program, or command of the Dutch language is a plus. You are able to work independently but also
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divisions: Algorithms, AI & Data Science, Software and Interaction. The atmosphere is collegial and informal. In the Intelligent Systems group we focus on fundamental and applied research in the area of safe