52 parallel-processing-bioinformatics-"Prof" Postdoctoral research jobs at Stanford University
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Posted on Wed, 08/13/2025 - 10:23 Important Info Deprecated / Faculty Sponsor (Last, First Name): Krams, Sheri Stanford Departments and Centers: Surg: Transplantation Surgery Postdoc Appointment
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biochemistry and biophysics directed at the discovery and development of new antibacterial therapeutics targeting difficult-to-treat bacteria. More broadly and coupled to drug discovery, we define the molecular
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to conferences, interactions with clinicians, and close collaboration with partner research groups in protein chemistry, molecular biology, and bioinformatics. Required Qualifications: MD or PhD in a relevant
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creative postdoctoral fellow with a strong molecular/cellular biology, immunology, and/or bioinformatics background and excellent written and verbal communication skills. The successful candidate will lead a
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gain expertise in stem cell biology, genome engineering, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental
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Posted on Wed, 08/27/2025 - 15:01 Important Info Deprecated / Faculty Sponsor (Last, First Name): Cepika, Alma-Martina Stanford Departments and Centers: Surg: General Surgery Postdoc Appointment
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Alex ‘Sandy’ Pentland from the Stanford Digital Economy Lab at HAI, Prof. Diyi Yang from Stanford NLP Group, and Professor Erik Brynjolfsson from the Stanford Digital Economy Lab at Stanford HAI
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to treat malignant brain cancer glioblastoma. Part of our work centers on targeting EGFRvIII, which is splice variant of EGFR and is highly expressed in these tumors. Recently, we demonstrated a tyrosine
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or conference on related topics. The faculty sponsor of this postdoc will be Prof. Li Liu. The appointment carries a twelve-month salary commensurate with the University Provost established minimum pay levels
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes