Sort by
Refine Your Search
-
expertise in force field development, weighted ensemble rare-event sampling, and scientific software development. The researcher will be the lead developer of the WESTPA software for weighted ensemble
-
to behavior prediction and change, and an early track record of research applying related methods to implementation science. Experience in developing and applying methods in community-based research is required
-
. We are seeking a Research Scientist specializing in plasma physics to join our team. In this role, you will: Develop and refine models to understand and predict the behavior of plasmas near the wall
-
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
-
collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
-
of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties and prepare manuscripts and presentations
-
of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties, and prepare manuscripts and presentations
-
will develop and apply cutting-edge methods in predictive and causal modeling for age-related macular degeneration (AMD), a primary cause of irreversible vision loss worldwide. This work will involve
-
Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
-
position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical