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health trajectories from big health record data using advanced AI methods Professor Yue Li is hiring one Postdoc for the machine learning and AI research in healthcare. The position will be held
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of Chemistry Position Summary: Collaborate with researchers to develop and implement algorithms for numerical reconstruction of holography microscopy images. Utilize machine learning and deep learning methods
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machine learning components into the IMAGE server architecture to enable the team’s designers and developers to create compelling end-user experiences on the Monarch. Key responsibilities include
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binaries, (2) observations probing the nature of quasi-periodic eruptions, and/or (3) machine-learning accelerated inference of LISA data. The position start date is between August and December 2024, but
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regression and machine learning seasonal forecast model Lead the seasonal forecasting model research project independently and report to collaborators and stakeholders every four weeks Qualifications
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for data processing, statistical analysis, and machine learning. The Candidate will engage in research, applying these methods to MEG and EEG data to explore their relationship with structural brain changes
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the features in our statement of work. You will primarily work with the existing development lead to partition the work based on your skills and interests. Key areas include: Work with lead developer and machine
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of conversational prompts to younger and older adults. Use machine learning tools to help design the CUI in accord with the study principles. Execute experiments testing older and younger adult participants with
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skills, • Strong computer skills, proficiency with MS Office and equivalent Google products, • Ability to work in a dynamic environment with several people on a variety of projects. Additional information
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sensing instrumentation for clouds and precipitation (e.g., cloud radar, passive or active satellite sensors) Experience with instrument simulators. Experience with machine learning techniques. Strong