Sort by
Refine Your Search
-
). Below are key aspects of the training program: The Yale CPC Training Program aims to train pre- and post-doctoral fellows in five thematic areas: cancer etiology, cancer outcomes, lifestyle behavioral
-
Postdoctoral Position in the Yale Cancer Prevention and Control Training Program The Yale School of Public Health and the Yale Comprehensive Cancer Center (YCC) have a Cancer Prevention and Control
-
record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
-
), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
-
, including coursework and/or research experience in evidence synthesis. 3. Programming experience using large datasets (e.g., R, Python). 4. Outstanding English written and verbal communication skills, with
-
to enable future clinical study reports and patent applications • Clarity of thought and communication in English (written and oral) The Girardi lab will offer competitive salary and benefits. If you are
-
interpersonal/communications skills and a good command of English language, including medical and scientific terminology. Please send CV and 3 professional references just contact info, letters are not needed
-
programming and data analysis skills, one or more first author research publications, and the ability to take the lead on one or more major research projects in partnership with the laboratory PI. Additional
-
CADMY is offering several Postdoctoral Associate positions designed for recent graduates of Ph.D. programs working at the intersection of AI, Game Theory, Economics, and Computer Science. We
-
research the scientist will: • Develop breakthrough and novel approaches in their interest area and evaluate them through real world applications. • Design of programs addressing significant AI/ML challenges