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intensive care unit Conducting study visits Laboratory handling and processing of blood and urine samples Design and maintenance of online databases Our postgraduate associate will acquire extensive
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awareness of privacy, security, and research compliance when working with health-related data a strong research record in AI in medicine, especially in natural language processing (NLP), large language
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, including developing and implementing research protocols, designing mixed-methods studies, screening and recruiting participants, collecting, and managing research data, processing, and analyzing this
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human translational research. Research Responsibilities The successful candidate will receive hands-on training and participate in: • Processing human blood samples and isolation of blood-cell
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interface with the Linux-based supercomputing clusters at Yale, complete data processing, organization and analysis. They will learn to utilize R or related programs for analysis, graphing and coding
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development. We are particularly interested in gene regulation and the role of signaling dynamics, biophysics, and chromatin mechanics in sensing, processing, and memorizing information. To study this
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compliance (IRB, HIPAA, Good Clinical Practices) Patient enrollment, consenting, and data collection Biospecimen collection and processing (including phlebotomy) Anthropometric assessments Medical record
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-Excellent organizational skills -Prior experience in data management/data processing and software, such as R/RStudio, is preferred but not required -Prior experience with Epic electronic health records
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appropriate training: (a) processing blood and tissue samples from people living with HIV using sterile cell culture techniques in an enhanced biosafety level 2 (BSL2+) setting after appropriate biosafety
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processing, animal behavior, data analysis and scientific writing and presentations. Training will include both wet-lab and data analysis skills. The candidate will have opportunities to develop