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myocarditis and other cardiac inflammatory diseases using a combination of precision medicine-oriented techniques including single-cell RNA-seq, TCR-seq, and CyTOF as well as classical molecular biology, cell
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backgrounds trained in chemistry, chemical biology, microbiology, and/or biophysics fields. We have launched a collaborative antibacterial drug design program integrating chemical biology and mechanistic
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Stanford University, SLAC, Departments of Photon Science and of Particle Physics & Astrophysics Fellowship ID: SLAC-SLAC, Departments of Photon Science and of Particle Physics & Astrophysics
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Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a healthier world
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Data Science, Human Centered AI, and the SLAC Machine Learning Program. KIPAC also has strong ties and active collaborations with theorists at LITP @ Stanford and SLAC. The positions offer a competitive
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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immunology. Preferred qualifications: Experience in immunology, human immunology, mammalian cell culture, multi-color flow cytometry, cell sorting, gene transfer, murine models, computational biology, and
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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with colleagues throughout the Global South and Europe (e.g., Colombia, Brazil, Germany, Italy) to advance basic research and translational science related to the Identity Project – a school-based