Sort by
Refine Your Search
-
inform IEI and immune dysregulation diagnosis and therapeutic strategies. Required Qualifications: PhD in immunology, microbial pathogenesis, cellular biology, or related scientific field Proficiency 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
-
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
-
the liver microenvironment. Experiments will utilize animal models, cell culture including induced pluripotent stem cells, and human patient samples. Required Qualifications: Applicants should hold a PhD
-
work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
-
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
-
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
-
Posted on Thu, 03/20/2025 - 22:13 Important Info Deprecated / Faculty Sponsor (Last, First Name): Dirbas, Frederick MD Other Mentor(s) if Applicable: Billy Loo, MD, PhD, Ted Graves, PhD Stanford
-
and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
-
with healthcare data is welcome but not required. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets