Sort by
Refine Your Search
-
The ability to work well independently and collaboratively as a team The capacity to develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly
-
, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
-
develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
-
multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
-
the Project Leader to develop reading tasks, exercises, other teaching & learning instructional resources, and reading materials in accordance with the primary and secondary education reading proficiency
-
research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off
-
multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
-
, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
-
The ability to work well independently and collaboratively as a team The capacity to develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly
-
Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
observation and molecular therapy. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative