Sort by
Refine Your Search
-
2024) in computer science, statistics, a computational social science or related discipline. Demonstrated interest in large language models and study of change. Substantial experience with transformer
-
becoming a postdoc with the respective research lab/center/faculty through the HAI Postdoctoral Fellowship Program (500 words max). Curriculum Vitae (CV) Short answer responses (300 max each): Description
-
learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related
-
or Chemical Engineering. • Prior work experience in hands-on laboratory experimentation. Prior work in microfabrication, engineering design (computer-aided design), and soft lithography. • Potential experience
-
will be given to applicants with prior training in pulmonary biology, or candidates with expertise in computational biology or single cell transcriptomics. Expertise in primary cell isolation and culture
-
Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
-
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
-
research program related to the language, literacy, and culture of African Americans. They should have experience with mixed methods research in the humanistic social science tradition. As a portion of the
-
, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
-
) (link is external) leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is