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postdoctoral researcher to study establishment of cell identities in human and mouse cerebral organoid models. - Study cell identities and lineages in physiological and pathological contexts - Develop protocols
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CNRS/IN2P3 and Université Toulouse III - Paul Sabatier. The L2IT Particle Physics team contributes to understanding the dynamics of the scalar sector of the Standard Model through studies of the Higgs
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the software side (data model, science analysis tool, proposal handling tools, science data challenge, science platform, data dissemination). Some team's members are strongly involved in the HAWC observatory and
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experimental sciences, technological development and theoretical modelling. The team systematically foster participation of team members to national and international conferences. The candidate will have access
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lakes - Good knowledge of mathematical and statistical modeling methods in ecology - Proficiency in optical microscopy and flow cytometry tools - Very good knowledge of algal community identification
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device modeling is desirable but not required. ● You are a team player with a high level of motivation, self-initiative and independence, excellence and flexibility to work and deliver results. ● Interest
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research laboratory in solid-state physics, nanoscience, molecular chemistry, and materials science. Its activities range from the synthesis of (nano)materials and molecular systems to the study and modeling
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the theoretical modeling of satellite excitations in photoemission spectra within the ghost Gutzwiller framework. It will involve exploring the adequacy of coupled cluster based Ansaetze as impurity solver, as
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria Creation of models Analytical calculations Numerical