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TensorFlow. The successful candidate will be able to develop, implement, test, troubleshoot, and optimize AI/ML solutions; automate analytical workflows; investigate complex computational or system issues
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and/or Windows environments Working knowledge of modern development tools (Git, CI/CD pipelines, automated testing frameworks) Knowledge of data structures, algorithms, and performance optimization
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performance optimization Experience with cloud platforms, distributed systems, or container technologies (Docker, Kubernetes) Ability to produce clear, maintainable, and well-documented code Systematic
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performance optimization Experience with cloud platforms, distributed systems, or container technologies (Docker, Kubernetes) Ability to produce clear, maintainable, and well-documented code Systematic
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also involve the development and implementation of targeted and higher-throughput drug-discovery screening approaches, including assay optimization, compound testing, quantitative imaging, and validation
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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the engineering PhD program. Faculty also will be expected to participate in recruitment and retention activities, advise both undergraduate and graduate students, and supervise graduate student culminating
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must have a PhD in Mechanical Engineering, Biomedical Engineering, or a closely related field. This position is on campus, in person. The Division of Applied Biomedical Engineering consists of 5 faculty
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assessment instruments MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS If filled as a Psychologist – Advanced Professional: Education: Doctor of Philosophy (PHD) or Doctor of Psychology (PSYD