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- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
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mandatory; Strong analytical and critical thinking abilities; Proficiency in relevant tools, e.g., SPSS, R, Python, NVivo; Excellent written and verbal communication skills; Ability to work independently and
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intend to pursue further study on Economics are preferred; and Knowledge of programming, e.g., R, Python, etc. is preferred. The initial appointment will be offered on a fixed-term contract for up to six
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail Mohamed.JEBAHI@ensam.eu Requirements
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 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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. Where to apply Website https://jobaffinity.fr/apply/8woewsfhgjjxs0kadn Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications • PhD in at least one of the following
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of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch. In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612. Some candidates may be
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount
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Contribute to scientific publications and technical reports Support preparation of research proposals Where to apply Website https://vacancies.phaethon-coe.eu/PHAETHON_R1_Researchers_V012_17042026 Requirements