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Posted on Thu, 02/20/2025 - 07:15 Important Info Deprecated / Faculty Sponsor (Last, First Name): de Jesus Perez, Vinicio Stanford Departments and Centers: Medicine, Pulmonary and Critical Care
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, RNAseq analysis, R or Python Strong publication record in peer-reviewed journals Excellent written and verbal communication skills Ability to work independently and in teams Required Application Materials
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tumor spatial biology via single cell spatial analysis of the tumor microenvironment. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation
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protocols. Provide hands-on technical/operational support for preclinical FLASH irradiation experiments of multiple users in collaborating laboratories Contribute to data analysis, manuscript preparation, and
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
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on this project including Kenneth Weinberg MD, Robert Negrin MD Stanford Departments and Centers: Ped: Critical Care Medicine Postdoc Appointment Term: 3-4 year appointment with annual evaluation Appointment Start
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, bioinformatics, molecular biology, toxicology, pharmacology). 2. Proficiency in bioinformatics, programming, and tools for the analysis of large genomic datasets and single-cell dataset, including R, linux, python
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into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
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for Education Policy Analysis (link is external) and the Education Data Science (link is external) program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education
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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models