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/sensing applications. Design the quantum sensing prototype for wireless communications/sensing applications. Conduct software simulations and hardware experiments. Document research outcome to publish at
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health assessment through visual behavior recognition, image-/video-based analytics, and biosignal interpretation (e.g., growth rate estimation, movement, coloration). Design and implement experiments
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics
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and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics
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. Write the report for the project progress. Work with research assistant for the prototype. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Engineering / Science, or related field
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equipment components Procurement of experimental consumables, prototype manufacturing and assembly of wave energy equipment Liaison and organization of large-scale indoor tests of wave energy equipment
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, figures, and presentations Key Competencies and Requirements: PhD in biology, medicine, or related field > 2 years of postdoctoral experience in cancer biology or metabolism Expertise in live cell imaging
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel