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Field
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for drug target discovery, computational biology, advanced bioinformatics, and novel AI algorithms for identifying drug targets in complex diseases such as chronic kidney disease, idiopathic pulmonary
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framework that translates evolutionary insights into synthetic biology and redefines the limits of metabolism. Find out more about Osipova lab here About the role We are looking for a highly motivated postdoc
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for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms
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collaborative research on humanoid robotics, including simulation, motion generation, and control Develop and implement algorithms leveraging computer graphics techniques (e.g., physics simulation, character
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algorithm code base including noise reduction, acoustic echo cancellation, automatic gain control, voice activity detection, packet loss compensation and other audio enhancements Software development of new
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applications for a Postdoctoral Fellow to join an international research team on the Marsden Fund project Scalable Bayesian Algorithms for Multi-Physics Inverse Problems with High-Level Representations
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offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ The research fellow will work closely with PI Patrick Rebentrost on developing novel quantum algorithms
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optimization algorithms is highly desirable Excellent programming skills in Python, C++, Java, Julia, or other relevant languages Knowledge of maritime decarbonization and alternative fuels is a plus A good
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sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation, localisation, path planning, and collision avoidance algorithms
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI