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A post-doctoral position funded by the Wellcome is available in the laboratory of Leon Lagnado to study the flow of information controlling visually-driven behaviour. Fluorescent reporters
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planning exposure paradigms (acute or chronic scenarios). The applicant will also handle data analysis, interpretation, and visualization, write manuscripts and coordinate with internal and external partners
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research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong communication skills in English and good knowledge of French
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effort to identify and visualize the translation dynamics and function of proteins that drive epithelial cell migration and rapid, scarless wound healing in axolotl wound healing and fly dorsal closure
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neurodevelopment and neurodegeneration of the visual system. Our team applies interdisciplinary approaches, combining multi-omics, genetics, molecular biology, evolutionary biology, viral tools, advanced
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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-driven futures (e.g. hydrogen penetration, DH decarbonization). Assisting in the extraction and visualization of KPIs such as emissions, system adequacy, infrastructure costs and operational risk
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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microscope), signal transduction , and3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed international
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reconstitution systems to study T cell signaling dynamics Cutting-edge CRISPR-Cas9 genome editing tools for targeted manipulation Advanced imaging platforms to visualize protein-protein interactions Primary human