-
. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings
-
, invasion, and interactions between the embryo and maternal tissue, to employ single-cell technologies to profile the molecular crosstalk of the implantation niche and to employ gene editing to determine the
-
Qualifications: Ph.D. in Molecular Biology, Virology, Cell Biology, bioengineering or related field. Strong background in AAV biology, including hands-on experience with AAV vectors in cellular models
-
the immune system, I have always been captivated by inborn errors in immunity and hematopoiesis. Our team focuses on solving the molecular puzzles that underly rare diseases to shed light on fundamental
-
the recently published work of Spateo for spatiotemporal modeling of whole mouse embryos with 3D single cell spatial genomics: Qiu et al., Cell (https://doi.org/10.1016/j.cell.2024.10.011 (link is external
-
, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
-
the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
-
, and traumatic brain injury patients. Building on a long history of transplanting hiPSC-derived cells to promote neural repair in pre-clinical models, this newly funded research program aims to develop
-
focused on brain resilience using human iPSC models and multi-omics approaches. This collaborative project will be conducted within the Departments of Pathology and Neurology & Neurological Sciences. About
-
Affairs. The FY25 minimum is $73,800. The Bertaccini Lab within the Stanford Department of Anesthesiology seeks an individual at the postdoctoral level with interest and expertise in molecular modeling