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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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. Candidates must have demonstrated ability in teaching and scholarly productivity. The position is open to MDs or PhDs with training in Cytogenetics or Laboratory Genetics and Genomics. Requirements include
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation