-
genomic analyses. Familiarity with molecular biology techniques. Familiarity with experimental biology in an ecological and evolutionary context. Experience with basic statistics in ecology and evolution
-
, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
-
various aspects of nucleocytoplasmic transport. Data Analysis Use existing algorithms and design new approaches to analyze microscopy data in order to understand its implications for understanding
-
develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
-
ecology and evolutionary biology. Our faculty perform cutting-edge research in a wide array of biological sciences in the laboratory and in the field. Our graduate research programs prepare scientists
-
algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting
-
. Experience with comparative and evolutionary genomic approaches Relevant laboratory skills for comparative genomics (HMW DNA extraction, library preparation, cell culture). Experience with natural history