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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and infrared backgrounds, cross-correlations between cosmological datasets
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primary research areas: 1) statistical inference in high-dimensional and large-scale testing scenarios; 2) the development of novel model architectures for large-scale proteomics data; and 3) causal
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project. The project is part of a large collaborative research effort involving Imperial College London, University of Bristol and three other groups at Cambridge. More information about the overarching
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Profile PhD in bioinformatics, computational biology, systems biology, or a related field Experience in genome data analysis (metagenomic/amplicon sequencing) and genome analysis (assembly, annotation
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
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Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria Applicants should hold a PhD in physics, optics
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https