39 postdoctoral-position-in-material-science positions at Stanford University in United States
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and basic mechanistic data to develop immediately usable, predictive tools for clinical testing. Position Description We are currently seeking a highly motivated Postdoctoral Trainee in the field
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Details Posted: 12-Apr-24 Location: Stanford, California Type: Full-time Salary: Open Categories: Staff/Administrative Internal Number: 102861 This position is based on Stanford's main campus with
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HAI Postdoctoral Fellowship with Professor Roxana Daneshjou, Department of Biomedical Data Science This position will involve studying how physicians interact with AI decision support systems
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, engineering, environment, sustainability, or related discipline. Demonstrated ability to collaborate with a diverse set of actors within and outside the organization, including academia, nonprofits, private
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HAI Postdoctoral Fellow: Socially Augmented Learning Technologies (SALT) Lab, Professor Roy Pea As AI has become integrated into children’s everyday smart devices, sophisticated algorithms analyze
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animals are used for teaching and research. Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. Employee must perform
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Open Postdoctoral position, faculty mentor Susanna Loeb SCALE Postdoctoral Fellow: NSSA Project, Professor Susanna Loeb The National Student Support Accelerator (NSSA) is a program of the SCALE
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For full consideration, please submit application materials as a single PDF via email to Asha Taha, [email protected] with the subject, "SIR/SCL Postdoc." We encourage applicants from diverse
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HAI Postdoctoral Fellow: Cognitively-Inspired AI for Grounded Abstraction Learning, Professor Judith Fan We are seeking a postdoctoral researcher who will be housed in the Cognitive Tools Lab in
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techniques (SEM and TEM). Experience in cement chemistry and material synthesis will be a plus. Responsibility: Conduct research on laboratory experimentation and analysis of physical and mechanical data