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at the interface of cognitive neuroscience, neurophysiology and data science. Profile: PhD in neuroscience, psychology, cognitive science, statistics, data science or a related field, with strong
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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic
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Hygiene conference. Candidate profile: An ideal candidate will likely have a PhD in statistical population genetics (e.g., prior experience working with ARGs / coalescent-with-recombination), computational
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Skills/Qualifications - PhD in epidemiology with very good statistics skills - Experience in statistical analyses using R or equivalent - Demonstrated research ability in circadian rhythm and
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26 Aug 2026 Job Information Organisation/Company University of Lille Research Field Chemistry » Computational chemistry Physics » Statistical physics Chemistry » Physical chemistry Physics
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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of aerosol chemical composition profiles. These methodologies will be extended to monitor stratospheric sulfate aerosols within the framework of the ESA STATISTICS and STATISTICS-II projects. The successful
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial
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, colloquia, and summer schools. Your profile PhD in Theoretical Physics Excellent analytical and numerical skills Solid knowledge of Statistical Physics Proficient in English (C1) We offer A modern, dynamic