85 computer-programmer-"University-of-Exeter" Postdoctoral positions at Stanford University
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experience using mouse models of disease. Priority will be given to applicants with prior training in pulmonary biology, or candidates with expertise in computational biology or single cell transcriptomics
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, Applied Mathematics, Statistics or related computational field. Superb quantitative background, strong coding skills (e.g., Python, R). Expertise in infectious disease modeling. Strong record of peer
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Posted on Tue, 06/10/2025 - 08:56 Important Info Stanford Departments and Centers: Graduate School of Education Pediatrics Psychology Postdoc Appointment Term: 3 year Appointment Start Date: Open position Group or Departmental Website: https://roar.stanford.edu/ (link is...
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or the interest in learning programming is highly desirable. A successful candidate will interact closely with computational biologists and be responsible for designing and executing experiments that will, in part
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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new areas of research that cross classical disciplinary boundaries. Our department studies the surface and interiors of the Earth, Moon, and planets through laboratory experiments, computational and
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Posted on Thu, 03/06/2025 - 16:51 Important Info Deprecated / Faculty Sponsor (Last, First Name): Fisher, Philip Other Mentor(s) if Applicable: Sihong Liu, Research Associate Stanford Departments and Centers: Graduate School of Education Postdoc Appointment Term: Summer/Fall 2025 through...
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Posted on Wed, 02/12/2025 - 13:31 Important Info Deprecated / Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
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Fellow will also lead department efforts to plan, create, and deploy course-level and curriculum-level assessments of quantitative skills and accessibility. This is a unique opportunity to join an exciting
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computational and preclinical models informed by patient data. A successful candidate will leverage models of Treg suppression, Perturb-seq workflows, and receive assistance from a laboratory technician to design