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direct instruction to undergraduate and graduate students in the use of appropriate equipment and tooling to make parts for curricular needs. This position helps students develop drawings and solid models
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development and use of knowledge base of information to be used in delivering effective customer service. Analyze, compile, audit, and validate crucial eligibility data through multiple computer-based
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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computer science, statistics, and mathematics, to improve patients' experiences, outcomes, and population health. Purdue’s legacy of excellence in data-driven research is foundational to our work at RCHE. By uniting
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: Access cutting-edge technology and professional development to stay ahead in SAP advancements Well-Being Focus : Prioritize balance with our Healthy Boiler Wellness Program, offering resources for physical
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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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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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