Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
sound judgement. Possession of a valid California's driver's license. Ability to follow, model and promote conduct that adheres to the University of California Principles of Community. Skill to safely use
-
for clinical use. Generative and Predictive AI for Clinical Decision Support and Statistical Inference Develop biologically informed statistical methods and uncertainty estimation models to train deep learning
-
Characterization; Biomaterials, Bioinspired and Self-Assembled Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational
-
/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling These positions require a B.S., M.S., or Ph.D. in biomedical engineering, electrical engineering, chemical
-
with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling These positions
-
research group of Professor Michael Prather on global atmospheric modeling, particularly as applied to atmospheric composition and climate change. The candidate will be expected to apply professional
-
Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational Approaches to Materials Science and Engineering; Nanoscale
-
, immunology, or cancer biology. The ideal candidate should have experience conducting in vivo experiments with mouse models, possess excellent problem-solving skills, demonstrate strong attention to detail, and
-
with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and
-
Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and