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the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate liberation with minimum
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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understanding of mineral processing's influence on cementitious materials across different scales and timeframes. This position plays a crucial role in the continuation of our DFF-Research Project 1 supported by
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to microfluids. The postdoc scholar will have the opportunity to learn different skills, and will work on a project related to the transport of bacteria in porous media and multiphase flow. 25% - Collaborate with
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of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data) Experience in R or Python Application instructions: Please send a CV, a brief cover letter describing your research
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collaborative. The Post-Doctoral Research Fellow works on funded research projects as part of a team with other subject matter experts, contributing to the development of a data-driven digital twin for fibers
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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to Applicants Job applicants should submit a curriculum vitae, cover letter, and the names and contact information of three references. Quick Link to Posting https://jobs.rutgers.edu/postings/256443 Campus
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and cover letter explaining why you think you are the right person for this job. Please include information about your education and work experience. Closing date: The closing date for applications is
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professionals. We encourage a comparative approach that examines how generative AI is adopted across different professional domains, and how its effects on expertise, quality and efficiency are shaped by