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Field
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staff from diverse backgrounds. Bilingual candidates of all language backgrounds are strongly encouraged to apply. Examples of the types of positions that arise include: • Interviewer/Assessors who work
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Infrastructure Engineering. Undergraduate and graduate degrees (Master and PhD) are offered in civil & environmental engineering, computer engineering, electrical and electronic engineering, and mechanical
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dynamic processes using differential equations, integrals, probability functions, and applied statistics. Therefore, having experience using more than one of the following languages is crucial: Matlab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer
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Qualifications PhD in social or natural sciences or related field required by the time of hire. Have been academically active for no longer than 4 years post-PhD. Ability to work independently, outstanding
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participation in proposal writing. Her/his technical proficiency should encompass isotope geochemistry, hydrogeology, and numerical modeling. A deep understanding of serpentinization processes, including water
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culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization." Your tasks Investigate the functional contributions of group 2 innate lymphoid
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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associate position with a focus on natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in industry, education, and public
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, R or similar programming language (b) Develop publication-quality figures, charts, and tables for high-impact dissemination © Suggest approaches for processing, analyzing, and visualizing data in