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Conduct applied research in AI, distributed computing, and software engineering under the direction of the project’s chief investigators. Develop and implement scalable and secure architectures
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new challenges. Key responsibilities will include: Research: Infrastructure Design & Implementation: Lead architecture, development, testing, and support of a vendor-sourced platform for real-time
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development. Familiarity with software development lifecycle including design and documentation of software architecture, testing/debugging skills, and version control. Experience applying machine learning
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI