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Laboratory at Stanford University is seeking a highly motivated postdoctoral scholar to join our interdisciplinary team working at the intersection of liquid biopsy, cancer genomics, and computational biology
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with
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to candidates with strong training in metabolism or adipose biology, neuroscience, genomics, physiology, molecular biology, computational biology, or a related field, who are eager to build an interdisciplinary
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prostate growth, with therapeutic implications, using a combination of genomic, molecular/cell biology, and tissue culture approaches. They will train within a collaborative, multi-disciplinary environment
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, protein expression and purification Sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Analyzing genomics datasets in Python or R Prior experience with Class I or Class II tetramer
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can be used to target them. The Sheltzer Lab leverages approaches from functional genomics, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies
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are available, broadly focused on understanding how genetic alterations create selective dependencies and how drugs can be used to target them. The Sheltzer Lab leverages approaches from functional genomics
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of human embryo development. This is a unique opportunity to work at the intersection of developmental biology, spatial genomics, computational biology and AI. We aim to appoint one postdoctoral scholar with
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cutting-edge approaches in immunology, genomics, and regenerative medicine to understand the role of stromal cells in autoimmunity and develop novel therapeutic strategies. The fellow will work at the
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resources strongly supports these efforts, including genomics, lipidomics, metabolomics, retinoid analytical cores, microscopy, animal facilities, and biostatistical support cores. Responsibilities • Design