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R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular docking for ligand optimization perform extensive molecular dynamics (MD) simulations (AMBER, NAMD, GROMACS) in
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characterization, including transmission spectra, propagation loss, modulation efficiency, electro-optic bandwidth, S-parameters, and high-speed modulation measurements. • Perform photonic device simulation and
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sample to study how transients correlate with their environments and measure rates of different classes of transient. Simulations and selection effects for SN Ia cosmology and beyond (Lancaster University
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of algorithms for anomaly detection, simulate and test it on
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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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design in real-time simulation environment (Typhoon HIL) and conduct real time simulation studies/experimentation. • Design and develop an intelligent and optimal switching strategies, control
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, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems. Key Responsibilities: Conduct independent and
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• Simulations abilities (e.g., Isaac Lab, ROS Gazebo) • Experience with implementation of deep learning model on aerial robots is preferred • Experience publishing papers, and supervising
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-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer
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of projects and making use of new research techniques and methods, in consultation with the research award holder or supervisor. This will include computer-based simulations, library research, critical