Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Postdoctoral Fellowships - Department of Data Science Dana-Farber Cancer Institute Boston, MA Full Time Overview The Department of Data Science at Dana-Farber Cancer Institute welcomes recent Ph.D
-
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
-
Postdoctoral Fellowships - Department of Data Science Dana-Farber Cancer Institute Boston, MA Full Time Overview The Department of Data Science at Dana-Farber Cancer Institute welcomes recent Ph.D
-
collaborative research environment that brings together computational scientists, clinicians, and biomedical researchers to address pressing challenges in precision medicine and biomedical data science. QBRC is a
-
, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
-
), is a transdisciplinary initiative at the intersection of biomedicine and digital sciences. The programme aims to develop translational research based on the integration of multi-omics data. In
-
and centers across the world. Research Fields for applicants: The Digital Age: Artificial Intelligence, Smart Systems, and Data Science; Sustainable Future: Green Technologies and Circular Economy
-
the contact information for 3 references to: Ken Kang-Hsin Wang, Ph.D., DABR Associate Professor CPRIT Scholar in Cancer Research Division of Medical Physics and Engineering Department of Radiation
-
and state-of-the-art genetically engineered mouse models. Information about the postdoctoral training program and benefits can be found at http://www.utsouthwestern.edu/postdocs . Interested individuals
-
Dana-Farber Cancer Institute, the Broad Institute, and more Mentor and guide junior staff and students Qualifications Ph.D. in bioinformatics, computational biology, statistics, data science, machine