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acquisition, signal processing, and data analysis Proficiency in programming Experience in child development research, especially related to auditory processing, language acquisition, or related domains Strong
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. Proficiency in scientific programming languages (e.g., Python, R, or MATLAB) for data analysis and visualization. A record of research productivity appropriate to the career stage, including publications in
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/ computational science or related field completed within the last five years. Experience in AI/ML. Skills in a programing language are commonly used in AI/ML. Preferred Qualifications: Deep experience in
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or doctoral graduate student at a qualified program requiring a research thesis/dissertation at an accredited U.S. college or university during the academic year. Be conducting research in an area
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experience. Minimum Qualifications: Ph.D. (at date of appointment) in botany, plant biology, ecology & evolution, genetics/genomics or related field; Proficiency in oral and written English language skills
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for Risk Forecasting, Large Language Models (LLMs), and Human-in-the-Loop AI Systems. Our aim is to advance AI for Operations by integrating next-generation AI agents and LLMs with real-world operational
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in the College of Engineering at The University of Texas at Arlington invites applications for a Postdoctoral Research Associate. Fields of interest are limited to Natural Language Processing and
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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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at national scientific meetings Ensure compliance with environment, safety, health, and quality program requirements Take a position of leadership for day-to-day laboratory operations Participate in project
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). Experience with programming (Python in particular) and AI/ML. Excellent written and oral communication skills with evidence of scientific impact of their Ph.D. Equipment Utilized Physical Demands and Work