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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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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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participant inclusions, assessments, and experimental/narrative data collection. - Conducting qualitative and narrative analysis of data from both participatory and neuroimaging studies. - Managing
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of bacterial genomes and comparative genomics across different strains. * Bioinformatic analysis of genomic data and identification of genetic variants associated with the observed phenotypes. * Integration
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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changeYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in atmospheric physics with a speciality in cloud, radiative and convective processes - Some experience with conceptual
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12 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Génétique Humaine Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline
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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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physically consistent data analysis strategies for surface X-ray scattering data, as well as sample cells specific to the beamline. The ID10 surface scattering station is dedicated to studies of hard and soft
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention