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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine
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two main parts: • numerical modeling of crustal stresses associated with the various proposed mechanisms; • statistical analysis of the impact of these stresses on faults, potentially active or not, and
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9 Mar 2026 Job Information Organisation/Company Université Paris Cité Department Center for Research in Epidemiology and Statistics (CRESS) Research Field Medical sciences » Epidemiology Biological
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value of combining LC‑ and GC‑based mass spectrometry approaches within the PFAhiStory project and this PhD research will be assessed. Finally, statistical analyses will be carried out to evaluate long
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to manipulate large datasets and good knowledge in statistical modelling (e.g. generalized mixed modeling) will be required. No field campaign will be necessary and the candidates must thus have a strong appeal
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LevelMaster Degree or equivalent Skills/Qualifications English level B2; Use of data collection and analysis tools (design of online questionnaires, statistical processing software (SPSS, R…), discourse
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eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 7 days ago
statistics and phylogenomics. In particular, he is an expert in ancient pathogen genomics. Dr Claire Guinat (IHAP) is a researcher at INRAE. She studies the transmission dynamics of zoonotic and animal
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/Qualifications Candidate profile: The ideal candidate is a Master’s level student (M2) or an engineering school graduate with skills in plant physiology, molecular biology, bioinformatics, and statistical data
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9 Mar 2026 Job Information Organisation/Company Université Paris Cité Department Center for Research in Epidemiology and Statistics (CRESS) Research Field Psychological sciences » Psychology