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solutions for national defense challenges, particularly in West Texas. Responsibilities: Contribute to R&D in areas such as: AI-driven threat detection Knowledge graph-based cyber threat intelligence
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projects related to PICs. Contribute to application-specific R&D&E projects, particularly in collaboration with industrial end-users and consortia partners Develop and .optimize design kits and services
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§ Clinical metadata harmonization across cohorts § Integration of clinical and multi-omic microbiome data. § Experience with Python/R and cloud computing preferred Ideal candidate: A computational
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of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect the ability
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analysis skills (STATA or R) with high attention to detail Excellent written and communication skills for publications and policy engagement Ability to work independently and collaboratively across
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skills. Excellent writing, verbal and interpersonal communications skills are required. Proficiency with SAS/R programming language, Microsoft Office software applications including word processing and
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of publications and/or conference papers and/or patents. Strong background in R&D with self-motivation and initiative. Ability to develop and manage R&D projects with good understanding of industrial
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relevant discipline and possess sufficient specialist knowledge in the discipline. You should be proficient in Python or R with experience in data science libraries, advanced NLP and LLM techniques and
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. Michael R. Hoffmann's group, focusing on environmental science and engineering. Dr. Guo joined the University of Arkansas, Fayetteville as an assistant professor in August 2022. The Guo Lab (https