17 programming-languages-"the"-"CNRS"-"Washington-University-in-St" Postdoctoral positions at Yale University
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/. Position Overview: We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including experience with
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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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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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), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
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program. T • The ideal applicant will have prior experience in neuroimaging analysis and a strong background in Python, Matlab, &/or R, and/or facility in other scripting languages and the willingness
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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postdoctoral researcher will leverage state-of-the-art protein language models (PLMs) and advanced AI-based structural modeling techniques to design and optimize T and B cell receptors (TCRs and BCRs). The work
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, including coursework and/or research experience in evidence synthesis. 3. Programming experience using large datasets (e.g., R, Python). 4. Outstanding English written and verbal communication skills, with
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management for use in the ELTI-Rwanda program (click here for a Spanish-language example in the Neotropics). Secondary Duties (when Feasible) Participate in the working group established by ELTI’s program
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Investigators at top economics programs. Ideal candidates will have experience and a track record developing research in one of two core research areas, Gender and Environment/Climate Change, along with solid