15 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at Yale University
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: For questions about the application process, please contact Xiaomei Ma (xiaomei.ma@yale.edu ) and be sure to include "CPC T32" in the Subject line of your email. Create a Job Match for Similar Jobs About Yale
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and experience in natural language processing, machine learning, and deep learning. • Strong written and oral communication skills in English. • Ability to work independently and as part of a team
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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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references; and o A one-page statement about your aims for postdoctoral training through the Yale CPC T32 training program. Questions: For questions about the application process, please contact Xiaomei Ma
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protocols. Clinical data collection and registry management, ensuring high data accuracy. Biospecimen processing and shipping across VA research sites. IRB and regulatory compliance procedures, including
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-on experience in all aspects of clinical research in a psychiatric setting, including clinical screening, recruitment of study participants, capture and processing of study data, interpretation and dissemination
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investigate localized mRNA processes—such as selective translation, transport, phase separation, and localization—that enable cells to respond to mechanical stimuli. This project will explore RNA-based
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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skills (e.g. ranging from human subject consent, medical record abstraction, and processing human specimens), as well as cell biology techniques (e.g. DNA/RNA and protein extraction and quantification
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-on experience in all aspects of clinical research in a psychiatric setting, including clinical screening, recruitment of study participants, capture and processing of study data, interpretation and dissemination