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Field
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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decision-analytic simulation modeling of the opioid epidemic and homelessness, including links to HIV, hepatitis C virus, and other communicable diseases along with model-based evaluations of the health and
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atmospheric observations. ● Analyze meteorological datasets and numerical model simulations to investigate mesoscale atmospheric dynamics, convective systems, gravity waves, and precipitation processes
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to investigate and develop novel ceramic electrolytes for next-generation composite solid-state batteries. Particularly halides and sulfides are of interest. By integrating atomistic simulations with experimental
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which factors determine feasibility and performance. What will you do? Improve, document and apply a regional groundwater model for variable-density flow groundwaterflow and coupled salinity simulations
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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candidates identified by space missions such as TESS and PLATO. This includes false-positive screening and the refinement of transit parameters. The telescope is currently being upgraded with a new wide-field
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to autonomous systems is considered an asset. Proficiency in relevant programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in
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assess vehicle technologies to quantify energy consumption, performance and cost benefits. In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains