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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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analysis, isotopic analysis, statistical analysis - Interpersonal skills: Teamwork, autonomy, organization, prioritization Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7209-ANNHAU
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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world; • Advanced skills in ceramic and archaeometric analyses (petrography, geochemistry), as well as in data-processing and analytical tools, including statistical methods; • Excellent written and
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Corruption and institutional trust (expected level: high) • Practical expertise in open science practices (expected level: very high) • Team coordination (expected level: high) • Statistical data analysis and
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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work
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: MSc or equivalent in the field of aerospace engineering or similar Solid knowledge of Computer Science and Informatics (simulation, optimisation and modelling tools; surrogate modelling, statistics and
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required: The candidate should have a strong interest in evolutionary genomics and ecology; should be willing to acquire an extensive training in bioinformatics and statistical data analysis; should have
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design, statistical and econometric analyses (STATA, R, or equivalent). Additional competence in qualitative methods: interviews, focus groups, thematic analysis, coding software (NVivo, ATLAS.ti