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multidisciplinary scientific principles and practices to perform and assist with experimental design and coordinate laboratory activity. Demonstrated experience with analysis and interpretation of research data, and
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theoretical modeling, remote imaging, and direct observation. Our research has both fundamental and applied elements. The successful candidate will demonstrate exceptional academic achievement and promise, and
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factor. However, non-U.S. scholars must be eligible for a J-1 visa, (with sponsorship from Stanford). Exceptions must be discussed with program administration. Email energy_postdoctoral_fellowship
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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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, 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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, 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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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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analysis, PCR, culture of human and mouse cells, Western blotting, ELISA assays, cloning, SANGER sequencing CRISPR/CAS9 genome editing a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related
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the Department and wider Stanford community to establish new techniques and research directions. • Apply and obtain competitive funding. • Employ advanced imaging, spatial analysis, and sequencing-based
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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