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POST-DOCTORAL RESEARCH FELLOW Post Summary Overview of the role The Characterisation & Processing of Advanced Materials Research Group, led by Professor Valeria Nicolosi, is currently seeking a
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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findings. Demonstrates proficiency in troubleshooting instruments and methods to improve outcomes. Delivers scientific presentations internally and externally with exceptional oral communication skills
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systems and some computer programming languages. Strong organizational skills, attention to detail Ability to work with minimal supervision and as part of a team, self-motivated, adaptable, works with a
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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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diverse cardiovascular cell types from iPSCs, enabling advanced cardiovascular disease modeling and cell therapy applications (Nature Cardiovascular Research 2023; Circulation 2023; Circulation Research
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proposals and reports. Minimum Qualification Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language
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processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber photometry, and custom
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for a second year. Nature of Fellowship Appointment The Energy Innovator Fellowship program is sponsored by the U.S. Department of Energy (DOE) with funding provided by the Office of Energy Efficiency and
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limited to (1) electronic health records, (2) causal inference, (3) natural language processing and large language models, (4) generative AI, (5) dynamic risk prediction modeling for high-dimensional