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environments, e.g., SLURM (ii) Analyzing genomic sequencing data. Preferred Qualifications: - Knowledge of evolutionary biology and/or population genetics - Knowledge with genetics/genomics. - Experience with
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and skeletal anatomy, biomechanics and functional morphology, or evolutionary approaches to the study of human adaptations. Appointment will be 100% time over the nine-month academic year (late August
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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
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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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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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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states