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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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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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, 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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. 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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and interest in evolutionary ecology, plant biology and biostatistics to discover how plant defenses have evolved by using statistical approaches combined with experimental work. In this project you
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of this thesis is to used advanced statistical methods to assess the effectiveness of LEZ in France to determine their impact on reducing air pollutant concentrations related to road traffic and improving air
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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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insects in bat guano samples, and how they related to abiotic conditions (weather data). They will apply advanced bioinformatics and statistical methods, contribute to scientific publications, and
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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