Sort by
Refine Your Search
-
, vehicle dynamics, and complex real-world environments. Research themes include model predictive control, reinforcement learning, reachability analysis, uncertainty quantification, and safety-critical visual
-
modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
-
Qualifications Experience with advanced quantitative models (e.g., structural equation modeling, longitudinal modeling, meta-analysis) Experience and interest in conducting meta-analysis or research syntheses
-
broader university. The Postdoctoral Research Associate will be responsible for conducting field, laboratory, and/or computer modeling studies to address research questions in the Geological and/or
-
information here ! PURPOSE The Postdoctoral Research Associate will conduct advanced research on the integrated analysis and modeling of urban water and environmental systems, focusing on urban stormwater
-
rhythms using Drosophila as a model system. This research will involve biochemical assays, cell imaging, genomics, and computational approaches to define how conformational changes in CLOCK and PERIOD
-
interpretation of experimental results. Maintain detailed laboratory records and ensure quality control in all experiments. System Integration & Prototyping: 20% Integrate energy harvesters with wireless sensor
-
areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
-
. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
-
languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in