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Field
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of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in the experimental implementation and validation of robotic systems
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of hybrid quantum–classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to
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learning, imitation learning, and curriculum methods; Develop new methods for full-body musculoskeletal control Probe links between learned control policies and neural representations of movement in
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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variety of quantum platforms: Circuit QED and quantum optics of superconducting circuits Rydberg atom array quantum processors and quantum simulators Trapped-ion systems (qubits and oscillator modes
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or have access to a wide variety of world-class laboratories, among which are UU’s Electron Microscopy Centre , the Geolab , and the Earth Simulation Lab . The latter houses the experimental facility
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calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task against hourly wind and wave time series spanning the project lifetime, with Monte Carlo
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have access to advanced laboratories, simulation platforms, and a multidisciplinary research environment. What are you going to do? As a postdoctoral researcher you will: Plan and/or perform experiments