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omics data analysis. ●General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. ● Demonstrated ability to apply theoretical knowledge of science
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: Cardiovascular Medicine Postdoc Appointment Term: 2-4 years Appointment Start Date: ASAP Group or Departmental Website: http://kimlab.stanford.edu (link is external) How to Submit Application Materials: To apply
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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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beams. Assist in commissioning and implementation of proton-based FLASH RT systems for preclinical use. Design, execute, and analyze in vivo and in vitro experiments evaluating radiobiological responses
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research with strong
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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, with a
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: Develop and apply LCMS methods for the qualitative and quantitative analysis of biological samples. Design and conduct experiments, analyze data, and interpret results. Collaborate with faculty, staff, and
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the complexities of human diseases and transplantation and to translate this knowledge into improved treatments. Learning Objectives: Gain skills in immunogenomics, immune repertoire analysis, single cell, multi
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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