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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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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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. The individual is expected to work collaboratively with multidisciplinary teams from academia, government, and industry, and serve as PI/Co-PI on projects. Required Qualifications • Successful completion of a PhD
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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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in an environment dedicated to advancing biomedical science. The department has numerous trainees including postdoctoral fellows, students earning DO/PhD, PhD and MS degrees. The trainees and faculty
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Qualifications PhD in Synthetic Biology, Bioengineering, or a related discipline. Experience in molecular and synthetic biology, with demonstrated ability to independently design and execute complex experiments
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. The applicant will be expected to recruit graduate students (from the interdisciplinary Genome Science and Technology Program) by year 3. A competitive startup package including support for PhD students and
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meetings; coordinating with and occasionally helping to mentor student interns. Duration is one year, with potential to renew for a second year. Minimum Requirements • MA/PhD/MFA/MArch in art history, studio
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year, with potential for extension based on available funding. Required Qualifications - PhD in psychology or a related field - Significant statistical analysis experience with multilevel and
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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection