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Details Posted: 15-May-24 Location: Stanford, California Type: Full-time Salary: Open Categories: Staff/Administrative Internal Number: 103225 Technology Ethics & Policy Rising Scholars Program
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Technology Ethics & Policy Rising Scholars Program Research Fellows The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24
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Details Title Postdoctoral Fellow in Modular Deep Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The Data
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Apply Now Summary We are looking for a postdoctoral fellow to work in the fields of in bioinformatics, biostatistics, machine learning, vaccine informatics, microbiology, immunology, and precision
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We are searching for a biostatistician postdoctoral research fellow to work with a dynamic neurodegeneration research group comprised of neurologists, immunologists, basic scientists, biostatisticians, environmental scientists, epidemiologists, bioinformaticians, and data managers. This...
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, Health Informatics & Data Science is hiring a self-motivated, team-oriented, and dedicated individual to apply for a part-time (up to 21 hours/week) Research Fellow position. The purpose of this Research
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, signaling and morphological changes. This research relies primarily on advanced computer simulation methods, rooted in statistical mechanics and machine-learning, some of which are designed within
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experiences will be complemented by appropriate formal education, with trainees having the opportunity to receive a Master of Science degree in Health Services. Our proposed Core Program will provide trainees
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 12 hours ago
*Applications will be reviewed on a rolling-basis. FDA Office and Location: A research opportunity is available in the Office of Science and Engineering Laboratories (OSEL), within the Center
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analysis of multi-omics datasets and apply machine learning methods to decipher immune responses to infections and vaccines. Selection criteria Ph.D. in computer science, data science, computational biology