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methods such as high-throughput experimentation to expediate the syntheses (and bioanalysis) of life-saving pharmaceuticals. The subsequent data will then be used to populate machine learning models
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Candidates must hold a PhD in experimental physics with experience in the field of soft matter and
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, and cleanup of high-dimensional experimental data. Perform advanced statistical analysis of high-dimensional experimental data. Interpret findings within the biological context. Contribute experimental
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas such as artificial
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scattering, cryo-electron and fluorescence microscopy. The experimental and theoretical methods used often have their origins in physics. Significant work is devoted to protein self-assembly and co-assembly
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process. These degrees must be relevant to the subject of the research activity. Further specific assessable qualifications (see Art. 1 par. 1 Call for applications): Experience in experimental and research
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7 Jan 2026 Job Information Organisation/Company CNRS Department Institut de physique et chimie des matériaux de Strasbourg Research Field Physics » Condensed matter properties Physics » Solid state
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/experimental work, with a focus on mouse colony maintenance, processing and analysis of human and animal tissues using immunohistochemistry and confocal microscopy, and the potential to assist in rodent surgery
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accomplishments in experimental condensed-matter physics or materials science. Expertise in thin-film deposition, materials characterization, or related experimental techniques. Preferred Qualifications: Experience