Sort by
Refine Your Search
-
, 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
-
spectrometry and animal models would be valuable but is not essential. Required Application Materials: Candidates should submit their CV. They will be asked for 3 individuals who can serve as a reference
-
, with a focus on combination therapies that account for cell-cell interactions. Experimental model systems will include cancer cell lines, organoid/assembloid models, and clinical tumor samples. Projects
-
care actually happens, and how it can be made better. This is a role for someone who’s excited to work with big, messy, real-world data — and who wants to do more than just build models. We’re looking
-
to evaluate and model the health consequences of emissions of NOx, benzene, CO, and additional gaseous pollutants from natural gas stoves and other appliances. The exposure measurements and modeling will build
-
chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
-
combinatorial panning methods, including phage and mRNA display, to identify de novo peptides for promising biomarkers lacking a natural ligand or lead structure. We then optimize peptide ligands for affinity and
-
chromatin structured contexts. Ideal for those with experience in cell culture, molecular biology, and seeking to acquire or strengthen expertise in gene editing methodologies, bioinformatics, and DNA DSB
-
labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not
-
-cigarette nicotine vapor, augment model AAA. Exposure to tobacco smoke, nicotine, and vaping can cause cellular epigenetic alterations, which may be transmitted in a transgenerational fashion. Our data show