Sort by
Refine Your Search
-
Employer
- University of Texas at Arlington
- City of Hope
- Lawrence Berkeley National Laboratory
- Montana State University
- The University of Alabama
- University of Kentucky
- University of North Carolina at Charlotte
- Carnegie Mellon University
- Harvard University
- Indiana University
- SAN DIEGO STATE UNIVERSITY
- The University of Texas at Arlington
- Univ of Alabama at Birmingham
- University of Arkansas
- University of Kansas Medical Center
- University of Michigan
- University of Texas at Austin
- 7 more »
- « less
-
Field
-
limited to 5-axis milling, low speed machining dynamics, free form optics, physics informed machine learning (PIML), robotic machining, cutting tool design, hybrid manufacturing context. - Draft Conference
-
Postdoctoral position. This position is available to individuals with research interests in applications of machine learning and artificial intelligence to wearable sensor data for nutrition research. Publishes
-
. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim of developing novel strategies to improve CAR T
-
related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree
-
to generate and publish high-impact machine learning research. Collection, curation, and maintenance of neural datasets Building lab equipment and software infrastructure for neural engineering experiments
-
, and CAR-T and CAR-NK. As a successful candidate, you will: · Lead projects by designing and performing experimental procedures · Manage data, analyze, and report findings · Write
-
Professional training and development activities Required Qualifications: PhD in Social Work, Psychology, Public Health or related healthcare field. Prior scholarly work in the area of Latino health, aging
-
-/chemo-genetics, in vivo calcium/voltage imaging, high-speed camera with machine learning, and behaviors. The lab will provide the training for relevant experimental techniques. Recent lab publications
-
, computer scientists, and policy experts. The postdocs will work with Prof. Daniel Loveless on various areas of research, including radiation and reliability effects in emerging semiconductor technologies
-
paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC