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Field
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. Strong interest in gene regulation dynamics, cancer research, and translation medicine Experience in computational analysis of biological data Experience with single-cell, transcriptomics, spatial biology
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, Python, GitHub, fieldwork, laboratory workflows, or grant/manuscript development. Experience with R, Git/GitHub, phylogenomic or population genomic workflows, GIS/spatial analysis, herbarium curation
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
tracing, and/or cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply
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Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26031english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Nanoscience
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About the Role The post-holder will have responsibility for developing Visium spatial transcriptomics and multiplexed immunohistochemistry in the Lockley group to unravel the clonal evolution
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10X controllers, spatial transcriptomics profilers, PCR machines and flow cytometers. About You You will hold a PhD/DPhil in immunology or related area with post-qualification research experience
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related field. They should demonstrate: Strong programming skills in Python and R. Experience developing bioinformatics analysis pipelines for spatial (or single cell) omics data and / or experience
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limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine. Required
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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through the analysis of oceanographic samples, interpretation and synthesis of multidisciplinary datasets, dissemination of research findings through publications and presentations, and archiving of data in