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Field
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emerging mathematical foundations in Data Science/Machine Learning. Programming and computing capabilities in at least one programming language is required. It is also desired to have prior knowledge in
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts
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) in the department and in the Great Plains IDeA-CTR network, and growing institutional strengths in AI, machine learning and clinical informatics. This is a unique opportunity to translate and expand
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processes emerging from the unique data in research areas such as quantum information science. • You will collaborate with scientific staff with diverse backgrounds, including data analytics, electron
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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School
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. graduate degrees in Earth and Environmental Sciences. Information on the EES program can be found at https://www.uta.edu/academics/schools-colleges/science/departments/ees . The Shimadzu Center
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. The department also offers a postdoctoral research training program. The department supports an array of faculty (16)-directed research programs of which many are supported by extramural grants and/or contracts
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offers a postdoctoral research training program. The department supports an array of faculty-directed research programs of which many are supported by extramural grants and/or contracts. The department
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analysis, to work collaboratively with research teams within Pfizer, and to publish in high-impact journals. By the end of the program, the Postdoc will be proficient in NGS technologies and nucleic acid
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a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with mammalian cell culture