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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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for a highly motivated PhD fellow. The successful candidate will apply cutting-edge spatial proteomics to uncover the molecular architecture of the cardiac conduction system (CCS) and elucidate mechanisms
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these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 25 days ago
adaptive immune responses against liver antigens. The project focuses on characterizing T and B cell immune responses in autoimmune liver diseases using spatial transcriptomics and adaptive immune receptor
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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platform, we invite applications for three PhD-level Research Specialists: Microscopy and Spatial Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data
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commitment to growing with us. Your Tasks Expertise and Methodological Development Establish, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data
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will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as part of the Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter) and
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by
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related to staff position within a Research Infrastructure? No Offer Description This PhD explores how citizens, spatial context, and devices jointly shape the behaviour of future wireless networks