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, fabrication, and testing of integrated photonic devices and circuits. Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively
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. Preferred Qualifications: Preferred experience: Experience in generating multi-omics data and data analysis with R or other programming languages is desired but not required. Experience with maintaining mouse
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skills in written English, demonstrated in examples such as prior research writing. Contributes to writing of reports and manuscripts, with increasing responsibility over time. Works collaboratively across
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conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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. The researcher will be encouraged to lead independent projects resulting in high impact publications. Must have excellent written and oral communication skills, be self-motivated and able to work both
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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processing, written and oral presentation and problem-solving skills are desired. English proficiency is required. Required Application Materials: CV with references Stanford is an equal opportunity employer
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UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu . Department Summary The Department of Mechanical Engineering provides engineering programs that combine
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of