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candidate will hold a PhD in geosciences, applied machine learning, data assimilation, or applied mathematics. The selection will be based on the following scientific and technical criteria: Experience in
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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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collaboration between: the Institut Langevin (ESPCI Paris – PSL), where instrumentation and data-analysis developments are carried out; and the Paris Eye Imaging group at the Quinze-Vingts National Ophthalmology
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. The project emphasizes spectroscopic galaxy surveys—in particular the analysis of data from the ESA Euclid mission—and 21-cm intensity mapping, especially from the SKA Observatory (SKAO). Our goal is to
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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development of existing image and data analysis tools -performance characterization using various types of samples (calibration samples, model systems, biological samples and/or nanomaterials) -participation in
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Additional Information Eligibility criteria - Knowledge: PhD in archaeobotany, knowledge of the historical and socioeconomic context of Protohistory and Antiquity in northern France - Skills: Carpological
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• Evaluation of catalytic performance and mechanistic studies • Analysis, processing, and interpretation of experimental data • Scientific dissemination of results: reports, publications, and presentations
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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project focusing on the neural markers of stuttering, the recruited individual will be responsible for the preprocessing, processing, and analysis of data obtained from functional neuroimaging (fMRI