31 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of California Davis
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Program as stipulated in the UC Davis Health Policies or Collective Bargaining Agreement Access to free professional development courses and learning opportunities for personal and professional growth
-
Access to free professional development courses and learning opportunities for personal and professional growth WorkLife and Wellness programs and resources On-site Employee Assistance Program including
-
Policies or Collective Bargaining Agreement • Access to free professional development courses and learning opportunities for personal and professional growth • WorkLife and Wellness programs and resources
-
Davis Health Policies or Collective Bargaining Agreement • Access to free professional development courses and learning opportunities for personal and professional growth • WorkLife and Wellness programs
-
. The primary responsibilities include, but are not limited to: subject recruitment, screening, enrollment, scheduling, data collection, participant tracking, and invoicing. They may manage and help develop
-
development and implementation of clinical trials, quality control of clinical research operations, and training and education services Department Specific Job Scope Under supervision, the incumbent is
-
shrublands. (1) In a UC Office of the President-funded project, the contractor will lead Safford Lab efforts to build 3-D models of forest fuels to support development of a prescribed fire planning tool
-
operations within UCDCCC. The OCR services support the entire lifecycle of cancer-related clinical research protocols. These include support for development and implementation of clinical trials, quality
-
Safford Lab is in need of a contract staff to work (1) as a field technician for four months under a UCOP-funded project to build 3-D models of forest fuels to support the development of a prescribed fire
-
, including: (i) estimating heterogeneous effects using RDD and causal machine learning methods; (ii) modeling dynamic longitudinal health data; and (iii) developing and refining statistical models and tools