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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Computer Engineering or a related field completed within
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to accelerate drug development and harness AI-driven innovation to address unmet medical needs. Benefits of Working with Great Good Venture Studio Accelerated Development: Our venture studio model streamlines
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-based decentralized trust computing, software engineering/model driven design and architecture techniques, real-time 3D graphics, Metaverse design and deployment, digital twin technology, and others
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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computing, machine learning/AI, eco-scale application engineering, cloud computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques
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computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques, real-time 3D graphics, Metaverse design and deployment, digital
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., GAN and variational auto encoders), generative models for structured data (e.g., Bayesian networks), Blockchain-based decentralized trust computing, software engineering/model driven design and
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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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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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university in an urban and wide-range community. The University?s research portfolio includes a broad range of activities spanning physical, social and life sciences, engineering, and medicine. This position