Sort by
Refine Your Search
-
Listed
-
Field
-
of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through
-
, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
-
candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless
-
demonstrated background in scalable flood inundation modeling, Impact-based flood forecasting stormwater infrastructure design under uncertainty. We welcome applicants with recent PhDs and individuals seeking
-
complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also
-
immune system dynamics and therapeutic interventions. Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and validate novel biomarkers and molecular targets
-
materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
-
, statistical modeling, interpretation of metabolomic signatures, and integration with cardiometabolic outcomes. Assist with Data Management and Sharing activities, including data curation, documentation, quality
-
to: i) lead the design and creation of an experimental setup to examine fluid-structure interactions between 3D-printed models of deep sea sponges and ii) lead the formulation and analysis of finite
-
will be working in an experimental lab, performing data collection, analysis, and modeling of behavioral and electrophysiological data. Applications are invited to apply for a statistical data analysis