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Field
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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WILL DO Design, develop, and operationalize deployment of complex, enterprise-grade AI/ML projects that leverage multiple platforms including Salesforce and Microsoft. Collaborate with cross-functional
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complex process often requiring multiple calls to the patient, referring physician, previous facilities/providers to request records and record review with the clinical team. Independently determine
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variants, geometric algorithms like spline approaches, and optimisation-based planners. Motion planning is especially challenging for environments with multiple paths and narrow passages and for systems
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analysis, and algorithms of computational research questions through independent research, studying existing code bases, and staying current with publications. Build awareness of software development tools
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the CCIA team and coordinate with CCIA stakeholders and campus systems. Preferred Qualifications Experience in developing and deploying web applications that are accessible across multiple operating systems
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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visual technology and LLM, and the interface of AI algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms, and also be actively involved in the development AI tools
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engineering systems analysis/optimization, or computational algorithms § Familiarity with multiple computer languages, including Python. § Ability to develop prototypes of tools needed to analyze data. Â
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(CPS) for aquaculture, to sensors and platforms for maritime applications. The Postdoc’s primary task will be to lead the development of algorithm, software, and hardware to extend the current HAUCS