31 engineering-computation-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers in United States
Sort by
Refine Your Search
-
Job Description SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical
-
Research Fellow position is available in the Department of Physiology and Biomedical Engineering. The candidate will join a project aimed at developing a "living pharmacy" platform. This platform is an
-
, mission-driven Postdoctoral Fellow to help engineer next-generation immune therapies for pediatric glioma. Our group reverse-engineers multiorgan human biology using iPSC/organoids, microphysiological
-
requiring VISA sponsorship*. Fellows must enroll in the program between July 1, 2026 and January 1, 2027. Applicants may submit an application prior to defending their Ph.D. but must complete their Ph.D. and
-
neuroscience, or computational neuroscience. The postdocs would be part of a multidisciplinary neural engineering and behavioral neuroscience team to study neural mechanisms of drug self-administration and
-
SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
-
computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
-
Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
-
mathematics, biophysics, AI/machine learning, computational biology, computer science/engineering, statistical inference, or related fields are particularly encouraged to apply. POSITION DESCRIPTION Flatiron
-
cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal