82 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Stanford University
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expected to continue the Lab’s ongoing research projects in one or more of the following areas: Glaucoma Neuroimaging and Neuroprotection in Humans and Experimental Animal Models; The Neural Basis of Sensory
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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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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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based on Stanford University guidelines , and full benefits. Required Qualifications: Recently completed PhD, DrPH, MD, or other doctoral degree in a discipline related to nutrition, food systems
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not
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Posted on Mon, 06/23/2025 - 11:20 Important Info Deprecated / Faculty Sponsor (Last, First Name): Kapiloff, Michael Other Mentor(s) if Applicable: Jeffrey L. Goldberg, MD, PhD Stanford Departments
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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most of our physiological responses to hormones, neurotransmitters and environmental stimulants. We employ an interdisciplinary approach to probe, model, and predict how signaling network dynamics
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environment provides many professional growth opportunities in academia, entrepreneurship, and public service. Responsibilities include: Investigate cutting-edge techniques in system modeling, analysis, and