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particular NLP, statistical learning, machine learning, generative AI, and their major fields of application. Roles and responsibilities The applicant will join the team of the 3IA Côte d’Azur Institute and
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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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for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any
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, Bioinformatics, Epidemiology, Biostatistics, Biomedical Sciences, or related disciplines; Strong background in statistical modeling, and/or machine learning (any experience in multimodal AI is an asset); Previous
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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the organising principles of biological information processing, focusing on the underlying physics of computations and sensory environments. This exploration has led to developing models and advanced statistical
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at the Doctoral School in Humanities and Social Sciences: hold a Master in Quantitative Social Sciences or Statistics Fluent in English Work in an inter-cultural and international environment Work both
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modeling and statistics Experience with research methods and concepts in experimental psychology and cognitive neuroscience (e.g., empirical research, experiment design, questionnaire, EEG) Technical Skills