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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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hours per week to support ongoing research in Distributed Acoustic Sensing (DAS). DAS is an innovative technology that utilizes existing optical fiber networks to measure ground motion with high spatial
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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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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
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responsibilities: Locating participants and administering follow-up assessments; distributing and documenting paid incentives for completed assessments; completing tracking paperwork and updating/utilizing
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responsible for packing promotional gardening materials, germinating seeds, taking care of the greenhouse, planting seedlings in the field and distributing the seedlings to the community gardeners. The student
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conference Distribute and collect end of semester evals Plan and organize senior exit interviews (including transcriptions of interviews and uploading all files to drive); send seniors follow-up exit email
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field of study and will vary depending on the projects and assigned responsibilities. Graduate students will work 20 hours per week with flexible distribution. Preferred Qualifications The Research Assistant
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive
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the sciences. Endowment funds, mostly generated from bequests, provide the annual income that supports scientific research conducted by GWIS fellowship winners. During the 2024-2025 funding cycle, we distributed