Sort by
Refine Your Search
-
, this position offers the opportunity to work with some of the most detailed data in clinical medicine — including second-by-second EHR metadata and continuous physiologic monitoring — to study how care actually
-
at Stanford University are seeking a highly motivated, passionate postdoctoral scholar looking to make an impact in the field of dermatology, leveraging epidemiology, data science, and public health to advance
-
for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated expertise in
-
of Child Neurology, is seeking an enthusiastic Research Assistant to coordinate and collect data for a project investigating children with epilepsy. For the project, the research assistant will play
-
Posted on Tue, 02/25/2025 - 17:04 Important Info Faculty Sponsor (Last, First Name): Alsentzer, Emily Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment Term: Initial
-
postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good
-
Data Analysis of Patients with Lennox-Gastaut Syndrome About Us: Stanford Pediatric Epilepsy Research is at the forefront of research in neuroscience, focusing on understanding complex neurological
-
understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. Responsibilities: Conduct research on the mechanisms underlying
-
meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
-
blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant