Sort by
Refine Your Search
-
technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
-
, or digital electronics Required Application Materials: Curriculum Vitae (CV) Statement of research interests Presentation-style summary of prior research (PDF or slide deck) Contact information for three
-
, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
-
) seeks a postdoctoral researcher in the application of Data and Knowledge Science to smart and sustainable civil and industrial infrastructures and cyber-physical systems. Areas of particular interest
-
merits have been published in the premier science and technical journals. The group is well funded by NIH and industry partners. For more information, please visit http://med.stanford.edu/Gulab (link is
-
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
-
. Prevalent TCR clones will undergo reverse engineering to deduce the peptide bound, and this information used to generate MHC tetramers to study the induction of these clones during the anti-tumor response
-
strong computational skills and a second experimental postdoctoral scholar to work at the interface between the two labs to integrate experimental and computational data. Key Responsibilities: Building 3D
-
is $76,383. Are you looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD
-
challenge for artificial intelligence. Our lab’s research is driven by the observation that, in practice, there is often a wealth of data specific to the application domain that can be leveraged to optimize