Sort by
Refine Your Search
-
experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
-
, 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
-
stem cell neuroscience Dr. Ryann Fame’s lab (famelab.stanford.edu) in the Department of Neurosurgery is recruiting a full-time postdoctoral fellow to an NIH-funded project. Dr. Fame’s research program
-
degradation capacity to cope with misfolded and aggregated proteins and characterize them in model systems of neurodegenerative diseases. Our goal is to develop nanobodies into mRNA-deliverable effectors
-
cell biology including neuroscience, GPCRs or related techniques, and/or (3) computational biology are encouraged to apply. We welcome applications from women, minorities, and other underrepresented
-
Prevention Research Center, an interdisciplinary research program on the prevention of chronic disease, is seeking MD, PhD, and other post-doctoral level applicants for research fellowships. Fellows gain
-
are looking for a postdoctoral researcher to contribute to cutting-edge research at the intersection of language models, data, and reasoning. The postdoc will be part of Stanford Language, Data, and Reasoning
-
would include: Co-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled
-
. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will involve both method
-
, 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