26 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" research jobs at City of Hope in United States
Sort by
Refine Your Search
-
models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography/public/ Your qualifications should
-
, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
-
, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages
-
and progenitor cells and the bone marrow microenvironment, which provides essential context for understanding leukemia initiation, clonal evolution, and therapy response. For more information about Dr
-
. You will have opportunities to analyze large-scale germline genotyping data, as well as tumor whole-genome sequencing data from childhood leukemia patients to investigate the etiologic role of early
-
Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages advanced multi-omic technologies, coupled with experimental perturbations and
-
medicine, vascular biology, bioengineering, and data science, Dr. Chen leads an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates
-
sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Deng’s lab, please visit here. As a successful candidate
-
, the selected candidate will advance ongoing correlative studies by analyzing immune markers of response in clinical samples. For more information about Dr. Kortylewski’s lab, please visit the Kortylewski Lab
-
molecular techniques, genomic approaches, and genetic and xenograft mouse models. For more information on the research lab please visit here . As a successful candidate you will: · Design and conduct