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, and alumni community is a plus. The most successful candidates may possess the following qualities: Understanding of social media trends, best practices, and algorithm shifts. Excellent copywriting and
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and deploying UAV simulation environments using AirSim or its derivatives. Designing and implementing navigation, planning, and obstacle avoidance algorithms using ROS2. Conducting simulation studies
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Engineering is seeking a highly motivated Postdoctoral Scholar to contribute to cutting-edge research in the development of Machine Learning and Artificial Intelligence (ML/AI) algorithms tailored for Space
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theory, algorithms, and programming at all levels. Other responsibilities include holding office hours, conducting required academic performance assessments, and development of instructional content
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experience and plans lie at the forefront of areas such as quantum computing, quantum algorithms, quantum simulations, and quantum error correction. Predominant research activities of the selected candidate
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also have been successfully applying advanced machine learning algorithms to solving complex problems within the electricity grid, including such problems as load/generation forecasting, distributed
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cognitive neuroscience. Computer Science: Virtual, augmented, and mixed reality, Digital twin software architecture, Real-time computer graphics, Immersive data analytics, ML, and Generative AI algorithms and
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collaboration in manufacturing is an advantage. Experience with mechanical/physical property characterization, in-situ process diagnostics – thermal, imaging and AI/ML algorithms, and robotics for manufacturing