Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
or accounts receivable experience 1-3 years Demonstrated ability to independently prioritize, edit and proofread materials, organize and multi-task with frequent interruptions and meet critical deadlines with a
-
challenging. What starts here really does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose This position will lead talent acquisition activities
-
Description The Biological and Life Sciences Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi is at the forefront of research at the intersection of Genomics, Multi
-
anticancer agents, including cisplatin and the antileukemic nucleoside analogues fludarabine and cladribine, were strongly influenced by p53 status. These findings suggest that these novel compounds may
-
excellence; and promoting the financial health of the University. More about FAD: Within and across the University, we aim to be exemplary colleagues, trusted partners, valued advisors, and agents of positive
-
, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Research Assistant will be primarily based
-
University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 8 days ago
to participate in multi-PI research programs, graduate and medical education, and mentorship. A competitive start-up package and outstanding laboratory space are available, with rank and salary commensurate with
-
: Representation learning for complex biomedical data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Sensor data integration and analysis AI for clinical
-
directions include (but are not limited to) For AI in Biomedicine: Representation learning for complex biomedical data Large language models for patient records and multi-omics Generative AI for therapeutic
-
graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. The university’s pool of experts works with multi-disciplinary teams to drive