Sort by
Refine Your Search
-
big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
-
), and dedicated veterinary technologists. Required Qualifications: Doctoral Degree (PhD, MD, or equivalent) conferred by start date. Required Application Materials: Curriculum vitae A brief cover letter
-
a PhD or MD-PhD, with expertise in molecular/cellular biology, bioinformatics, biochemistry, or immunology and may have expertise in cell-based and/or animal models. Preference will also be given
-
inform IEI and immune dysregulation diagnosis and therapeutic strategies. Required Qualifications: PhD in immunology, microbial pathogenesis, cellular biology, or related scientific field Proficiency in
-
. Responsibilities: Design and conduct experiments, and generate, analyze and interpret data related to understanding human Treg subtypes in solid tumors, and T cell and Treg bioengineering. Perform in vitro and in
-
expected that at least four fellowships will be awarded. Research areas eligible for the fellowship include quantum chemistry, quantum communication, quantum computing, quantum information, quantum gravity
-
microscopy (SEM), and isotope geochemistry Conducting analyses using ICP-MS, ICP-OES, XRF and colorimetric techniques in consultation with collaborators Analyzing data and disseminating findings to scientific
-
lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of reward-seeking
-
their knowledge and skillset in mitochondrial biology would best fit this position. Required Qualifications: PhD in cell biology, molecular biology, stem cell biology, developmental biology, immunology, or cancer
-
. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data