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Campus. The research program uses mammalian cell culture and microscopy‑based approaches to study aging, stress response, cancer, and vesicle trafficking, with strong translational relevance
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involves biophysical techniques to measure membrane currents (whole-cell voltage-clamp and current-clamp recordings) from the human embryonic kidney (HEK) cells, dorsal root ganglion neurons and dorsal horn
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and use of cutting-edge flow cytometry, molecular biology and cell biology assays on rare bone marrow-derived hematopoietic populations and induced pluripotent stem cells. Specific duties include
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of the lysosomal surface. Our goal is to reconstitute these signaling events in vitro to determine how physical changes in the membrane bilayer coordinate with biochemical signals to control cell fate. This work
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candidates should have independent research skills and demonstrate a track record of success in the laboratory. Candidates with experience in mouse tumor models, T cell culture, and flow cytometry
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that makes that reuse possible at scale — not just once, but sustainably, across the research community? The Davis and Krishnan labs work at the intersection of these questions. We develop ML/AI methods and
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of the organization. We are seeking an individual who is collaborative, communicative, caring, detail oriented and organized, proactive, able to think critically, focused on quality, dedicated to personal growth, and
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welcoming environment for faculty, staff, and students. This includes being active participants in the CBH community and, as applicable, in their affiliated departments, such as attending talks and events
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Qualifications: Experience with development of R packages or other software Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: Excellent communication skills (written and oral
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Abilities: Strong written and verbal communication skills, including the ability to contribute to manuscripts and presentations Ability to lead and troubleshoot research projects Experience analyzing complex