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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 23 days ago
used to tailoring software, exposing when and ideally how to support end-users in tailoring tasks. References [1] B. R. Barricelli, F. Cassano, D. Fogli, and A. Piccinno. End-user development, end-user
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an international scientific community. They also lead an R&D program on detection techniques, laser techniques, data acquisition techniques for experiments, and the manufacture of targets and thin films. The person
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French National Research Institute for Sustainable Development | Montpellier, Languedoc Roussillon | France | about 1 month ago
, MATLAB, CDO, NCL, and/or R. Experience with numerical climate modelling is highly desirable. Experience with heat stress indicators or occupational health is an advantage. Additional Information Additional
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, - Proficiency in R and/or Python programming languages, - Experience working with large medical-administrative databases would be appreciated (SNDS, PMSI), - Excellent command of scientific English (written and
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knowledge of basic techniques in molecular biology. Working knowledge of R and Python programming environments. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5284-FABLEG-002
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collaboration with Growgraph, an R&D startup engaged in advancing knowledge graph technologies and AI-driven methods for structured data analysis. This partnership aims to foster the transfer of research outcomes
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, parsimony, total-evidence approaches). Candidates must have expertise in macroevolutionary modeling tools (BAMM, PyRate, FBDD, BDNN, DeepDive). Strong programming and quantitative skills (e.g. R). Experience
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and/or R (data analysis, imaging / signal), imaging suites (Fiji, ImageJ, 3D software), version management tools (Git), collaborative suites (Overleaf, Office) Fluency in English is desired (level C1
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inorganic carbon. Global Biogeochemical Cycles, 36, e2021GB007162. https://doi.org/10.1029/2021GB007162 van der Zant, H. F., Sulpis, O., Middelburg, J. J., Humphreys, M. P., Savelli, R., Carroll, D
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quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée