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learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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Professional References including names, addresses, and telephone numbers A portfolio of design works For questions, please contact Prof. Mingzhou Jin (jin@utk.edu ) or Prof. Marshall Prado (marshall.prado
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this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Assoc. Prof. Bastien Llamas Group Leader
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 17 hours ago
distribution of awards. Implementing plans for awards programs and related objectives. Planning and overseeing short and long range activities that support financial administration. Producing complex statistical
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://www.ornl.gov . For questions, please contact Prof. Niki Labbé (nlabbe@utk.edu) or Prof. Jon Shefner (jshefner@utk.edu). Application Process This institution is using Interfolio's Faculty Search to conduct
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thousands of visiting researchers each year. To learn more about ORNL visit https://www.ornl.gov . For questions, please contact Prof. Hongyu Nick Zhou (hzhou8@utk.edu ) or Prof. Mingzhou Jin (jin@utk.edu
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
the duration of the scholarship Enquiries Prof Ba Tuong Vo ba-tuong.vo@curtin.edu.au Further Information Curtin base, Industry sponsored top-up and industry internship Scholarships Email Alert Sign up now
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This post is part time (5 hours per week) and fixed term for up to 6 months from start date. Job Purpose The purpose of this job is to support Dr Eleanor Kirk (PI) and Prof Ruth Dukes (Co-I
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms