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on the effect of the language environment on auditory speech processing during early development. The postdoctoral researcher will actively participate in experimental design, data collection and analysis, and
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). Experimental Design: Participate in the development of experimental protocols and human collective behavior experiments. Data Analysis: Perform advanced statistical analysis of experimental data. Modeling
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catalysis. Experience in materials synthesis and experimental measurements. Training and experience in kinetic modeling. Expertise in in-situ spectroscopy and scientific literature review. Fluency in spoken
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impact measurements, AFM imaging, and AFM-SECM experiments. The SEEAFM project will be developed within the Electrochemistry group of the IMF team at the CEISAM laboratory. Where to apply Website https
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all common techniques. You have solid experience in integrating materials into electrodes for electrochemical measurements and are experienced in conducting and analyzing such measurements. You are also
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The ideal candidate will have strong skills in experimental design, data analysis, and bioinformatics, along with excellent written and oral communication in English. Experience working with C. elegans
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
experimental work: * Fabricate LIB electrodes from graphite powder mixed with binder particles. For that purpose a classical liquid-media methodology will be used: powders mixing, ink preparation, coating/drying
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research teams and includes about 150 people, including about 50 permanent staff. With more than 30 years of experience in polymer chemistry, the LCPO's research aims at : - develop innovative methodologies
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, and demonstrate significant research experience in this area. Required expertise and skills include: - Proven expertise in electronics dedicated to the amplification and digitization of signals from
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website