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Field
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-channel count silicon-probe electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and
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quantitative analysis of macromolecular interactions; epigenetics and functional genomics; or fungal molecular genetics. Experience in quantitative microscopy, 3D imaging and image analysis, or in bioinformatics
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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methods in brain imaging, including MRI/fMRI principles, neuroimaging study design, preprocessing and analysis pipelines, quality control, visualization of brain imaging data, and interpretation
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. Data and analysis: Maintain accurate experimental records and contribute to analysis of imaging, treatment, and biological data, including relevant tissue processing and histology. Platform evaluation
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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. · Imaging, genetics, and omics data analysis and method development. · Preparing and drafting manuscripts for publication in peer-reviewed journals. · Performing other duties as assigned
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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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Recherche Scientifique (CNRS). The fellow will work on the project's “Decarbonization” pillar, with a focus on the analysis of the spatio-temporal dynamics of peri-urban forests, using LiDAR remote sensing
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environment combining cell biology, advanced microscopy, and quantitative analysis, with access to state-of-the-art imaging platforms and international collaborations. Research Work Environment Resources