29 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Fellowship positions at City of Hope
Sort by
Refine Your Search
-
: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
-
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
-
, 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
-
-life environmental exposures and the prenatal origins of childhood leukemia, for example in our ReCord Study (https://record.umn.edu ). Applicants are required to submit a CV accompanied by a cover
-
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
-
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
-
, Cancer Biology, Chromatin Regulation, Cancer Epigenetics, Epigenetics Regulation, Cancer Metabolism, Immunology, Drug Discovery, Development, and Structural Biology, with an emphasis on RNA epigenetics
-
: · Contribute to the development of CD38 antibody‑drug conjugates (ADCs) and other multiple myeloma targets, including monoclonal antibody (mAb) engineering, ADC conjugation, biophysical characterization (SPR
-
career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular
-
. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable