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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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. Required Qualifications: PhD in Computer Science, AI/ML, Computational Biology, or a related quantitative field. Proven expertise in deep generative modeling and large-scale multimodal learning. Experience
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, such as electronic health records and genomic data, to provide actionable insights to clinicians, researchers, and patients. The lab bridges computer science and medicine through affiliations with
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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stakeholders and objectives. Required Qualifications: Applicants must have received a PhD from an accredited university before the appointment start date. Demonstrates excellent written and verbal communication
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a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with mammalian cell culture
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-doctoral program (https://postdocs.stanford.edu/ ). Required Qualifications: PhD, ScD, MD, DO, MD/PhD, or equivalent doctoral degree completed by appointment start date Degree in clinical field (nursing
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of Medicine) and Steve Gorelick (Doerr School of Sustainability), and will work alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or
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measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project comparison. Supporting this program—and this position—are NIH
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arterial hypertension using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell