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Field
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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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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multi-data analytics (e.g., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis
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. Qualifications Basic Qualifications: College background in psychology, social/political science, communications, economics, computer science, data science, statistics, or related field. Additional Qualifications
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 1 day ago
Optional Skills / Knowledge Expertise in statistics Expertise in high-performance and parallel computing Expertise in neural networks Personal Qualities Intellectual curiosity Autonomy Adaptability Rigor
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epidemiology. We are keen for this PhD project to be student-led and shaped and driven by the successful candidate’s research interests and skills. Techniques to be used: Epidemiology Statistics and data
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or signal analysis • Programming in Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare
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ecology techniques (e.g. radio-tracking, animal handling, behavioural observation), geophysical and surveying techniques (e.g. ground-penetrating radar, relative GPS), working with big data, statistical
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statistically relevant number of samples, a large-scale in silico comparison will be made as well. For this purpose, we will also pioneer in establishing in silico test grounds that are as realistic as possible
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of domestic and foreign professional publications, scientific studies from the Web of Science and Scopus databases, relevant web resources, publicly available documents, and data from the Statistical Office of