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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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management. Requisite skills include DNA extractions (ideally from noninvasive sources), PCR, sequencing and basic statistical modeling (e.g., simple regression). Desired skills include qPCR, ddPCR, and/or
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- Ethical and Fair AI - Human-Computer Interaction - Natural Language Processing and Large Language Models - Quantum Computing, Information, Algorithmic Paradigms, and Communication - Scientific Machine
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consistent with that of the program, a strengths-based developmental perspective, and a scientist-practitioner model of training. As Director of the Collaborative Leadership Program, oversee the undergraduate
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clinical faculty position will be at the Clinical Associate or Full Professor rank. A Ph.D. in information systems, computer science, economics, or related discipline is strongly preferred; however, a
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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at the intersection of Business and Technology and teach at the undergraduate and graduate level. Qualified candidates must: Complete a Ph.D. in Information Systems (IS), Economics, Computer Science, or a related
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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effort on active research projects and publish and present research results. Research work will focus on Computation Fluid Dynamics (CFD) models involving multiphase reacting flow simulations with emphasis
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g