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Field
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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needs. Tasks may involve CAD design, machining, and integration of sensors and control systems. Collaboration and Mentorship 5% Work collaboratively with faculty, graduate students, and other postdoctoral
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to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies. This is an exciting
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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the development and management of a new study developing a novel non-invasive wearable sensor for the early detection of cardiovascular decompensation in humans. Responsible for developing and managing protocols
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mechanics using wearable sensors. • Models of bone health in running populations. • Models of tissue stress and strain in athletes. • Models of health and performance in female athletes. • Models of athlete
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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and quantum sensors are more than welcome. The applicants may also apply for“Boya postdoctoral fellow”in every January, which provides even more competitive benefits (see http://postdocs.pku.edu.cn
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information