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Posting Title Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per
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non-terrestrial networks (NTN). Drawing on the Department of Science Innovation and Technology report's identification of semiconductors as a key physical layer enabler of 'advanced connectivity
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planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work
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computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
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the sponsoring agency. Basic Qualifications: PhD degree and 8 years relevant postgraduate experience or a MS degree with 12 years postgraduate experience in electrical engineering or closely related engineering or
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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Development Command – Chemical Biological Center (DEVCOM-CBC). What will I be doing? Under the guidance of a mentor, you will participate alongside a community of scientists supporting our mission to conduct
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the RNA NPs formulations are evaluated in in vitro cell systems (cell lines and primary cells). The RNA NP formulation will be delivered orally in a device engineered to achieve site-specific intestinal