110 phd-in-concrete-and-structural-engineering Postdoctoral positions at Stanford University
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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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success and publication history, with an MD, PhD or MD/PhD degrees, and very strong references. We are seeking a candidate with expertise in immunology. Previous experience in cancer research, molecular
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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if classroom instruction experience is part of the Fellow’s training goals. Required Qualifications: Strong applicants will typically have earned a PhD in Bioengineering, Biophysics, or a related engineering
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of infectious diseases research and provides a strong community of scientific colleagues and students. Required Qualifications: The ideal candidate will have a PhD in Epidemiology, Engineering, Data Science
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for ambitious science. Position type: Full‑time; open to candidates from recent PhD graduates to established senior researchers. Required Qualifications: • Design, execute, and analyse high‑density
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project with our cornea and chemical engineering department to better understand corneal neurotization and improved techniques to treat neurotrophic keratopathy and techniques to deliver growth factors and
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. The position is fully funded. Required Qualifications: The successful candidate should be highly motivated and hard working, with outstanding past research success and publication history, with an MD, PhD or MD
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chromatin structured contexts. Ideal for those with experience in cell culture, molecular biology, and seeking to acquire or strengthen expertise in gene editing methodologies, bioinformatics, and DNA DSB
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics