40 phd-position-computer-science "https:" Postdoctoral positions at Stanford University
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ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics
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demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
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interventions to mitigate the harmful impacts of environmental change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial
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partners in genomics, cancer biology, and clinical research, providing opportunities to work with diverse biological systems and translational applications. Required Qualifications: PhD in bioengineering
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competitive for an instructor position at the end of their training at Stanford, the School of Medicine offers the K12 Mentored Career Development Program,(link is external) which provides didactic training
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sends e-mail) ) Required Qualifications: PhD completed by the appointment start date in computer science, data science, human-computer interaction, psychology, sociology, political science, communication
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/Home.html(link is external) https://med.stanford.edu/cepb.html(link is external) How to Submit Application Materials: Submit all application materials via this form(link is external) . Does this position pay
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Centers: Pediatrics, Cardiology Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediately Group or Departmental Website: https://med.stanford.edu
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to Submit Application Materials: Submit your application here: https://app.smartsheet.com/b/form/019e65e7ae0c7662a7bc9788d9f5e32d(link is external) Does this position pay above the required minimum
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data