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biology, cancer biology, molecular biology, immunology, and bioinformatics are all welcome to apply. Lab techniques include mammalian cell culture, mouse models, standard molecular biology and biochemistry
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transplantation and viral immunity. Apply and expand expertise in advanced methodologies such as CyTOF, sequencing approaches (CITE-Seq, NGS, RNA-seq), and bioinformatics, with opportunities to learn and integrate
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bioinformatics, will find this an ideal environment to apply and develop their skills. Duties involve culture and maintenance of stem cells and human/mouse islets, standard molecular biology techniques in DNA and
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biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary
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. The Lu Lab maintains active collaborations across Stanford Medicine, engineering, pathology, oncology, and surgery. Postdocs in the Lu Lab are supported in developing an independent scientific identity
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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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successful candidate will lead the design, operation, and characterization of high-enthalpy reacting-flow systems for methane pyrolysis and floating-catalyst chemical vapor deposition. Relevant reactor
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Affairs. The FY27 minimum is $79, 056. Our research team is seeking a postdoctoral scholar interested in cardiovascular and cardiac surgery outcomes research and predictive analytics using advanced
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degree in biomedical data science, computational biology, genetics, bioinformatics, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have
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on physiologic waveform analysis, biomedical signal processing, and computational modeling of continuous clinical monitoring data. The successful candidate will work on projects involving the analysis