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contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to enhance optimization algorithms, help practitioners select the most effective
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responsibilities include: Leading experiments to optimize Cas9/gRNA complex delivery into oocytes of diverse marine phyla, potentially utilizing techniques like microinjection or targeted incubation. Developing and
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School of Medicine. The project will focus on optimization of peptide ligands targeting promising cancer antigens followed by subsequent radiolabeling and pre-clinical validation. The Beinat lab employs
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Posted on Thu, 03/20/2025 - 22:13 Important Info Deprecated / Faculty Sponsor (Last, First Name): Dirbas, Frederick MD Other Mentor(s) if Applicable: Billy Loo, MD, PhD, Ted Graves, PhD Stanford
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skills, expertise, and perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting
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. Pay Range: 75,000-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals
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modeling tools to support outbreak response, optimal vaccine strategies, and understanding key epidemiologic questions. This NIH-funded project is conducted in collaboration with the California Department
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Qualifications: Applicants must have received a PhD from an accredited university before the appointment start date. Demonstrates excellent written and verbal communication skills. Excellent programming skills in
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perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting institutions, backgrounds, and life