96 computer-science-quantum-phd-student Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
or related techniques, and/or (3) computational biology are encouraged to apply. Lab overview: The communication between cells and their environment depends on decoding of extracellular cues into intracellular
-
campus in linguistics, computer science, psychology, and otolaryngology. Applicants are expected to apply for independent funding through Stanford-internal mechanisms and/or external sources such as NRSA
-
: Civil and Environmental Engineering Chemical Engineering Postdoc Appointment Term: 1 year with possibility of extension Appointment Start Date: The position is available immediately and the start date can
-
to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
-
Fellow – Inherited Retinal Degenerations and Translational Vision Research Position Overview We are seeking a highly motivated Postdoctoral Fellow to join a growing translational research program focused
-
: Advanced degree (PhD) in Forestry, Environmental Science, Resource Management, Engineering, Business Administration, or related field. 2-5 years of applied work experience in forest management or forest
-
experience in prototyping, optical instrumentation, image processing, or translational device development are particularly encouraged to apply. Required Qualifications: PhD in Engineering, Physical Chemistry
-
Health Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Postdoc Appointment Term: 1-3 years
-
activities. Develop and refine science-based metrics and methodologies for urban resilience assessment. This work will involve collaboration with other SURI research students and personal research aligned with
-
. Required Qualifications: PhD in Computer Science, AI/ML, Computational Biology, or a related quantitative field. Proven expertise in deep generative modeling and large-scale multimodal learning. Experience