14 computer-programmer-"Prof"-"Fraunhofer-Gesellschaft"-"Prof" Fellowship positions at City of Hope
-
, including stem cell biologists, immunologists, cell therapists, microbiologists, and computational biologists. Career Development : Over the last two decades, the van den Brink lab has mentored many
-
, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine
-
the biological mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to
-
: 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
-
, shaping the future of medicine through cutting-edge research. We seek a motivated and talented Postdoctoral Fellow to join Dr. Andrei Rodin’s laboratory in the Department of Computational and Quantitative
-
. Additional qualifications include: Excellent communication skills and fluency in English, both written and spoken. Strong team orientation and interpersonal skills. A commitment to the program for a minimum of
-
co-receptors. · Program our HTS robotics platform to interrogate small-molecule libraries; triage hits, coordinate SAR follow-up, and shepherd hit-to-lead evolutions. · Express and
-
Medicine, and member of the City of Hope Comprehensive Cancer. The Perry laboratory uses structural biology approaches, together with small molecule and fragment-based drug discovery, computer-aided drug
-
top journals such as Journal of Hematology & Oncology (2024), Cancer Research (2024), Cell (2023), Cell Stem Cell (2023 ×2), and Nature Cell Biology (2022). The Su research program is currently
-
. The research program embraces team science drawing from i.e., implementation science, data science, geospatial, epidemiological, and machine learning approaches to better understand broad contexts including