Sort by
Refine Your Search
-
into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality
-
the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant
-
leadership in the design, execution, and analysis of real-world evidence (RWE) studies. Oversee the development and validation of the common data model and the data integration platform for use in healthcare
-
. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate
-
Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
treatments. Duties and Responsibilities Design and conduct experiments involving molecular biology, genetics, and gene editing (e.g., CRISPR/Cas9) to model orthopedic pathologies. Manage and perform functional
-
Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
) to model orthopedic pathologies. Manage and perform functional studies using animal models (e.g., transgenic mice) to evaluate disease progression and therapeutic efficacy. Utilize induced pluripotent stem
-
., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms
-
possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and
-
plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a collaborative project. For further information, please contact Professor Stephanie Ma at stefma
-
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