244 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" uni jobs in United States
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Field
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, the Software Engineer Associate will work alongside researchers to develop and optimize software solutions that support our lab, ranging from large-scale data processing pipelines to computer vision algorithms for animal
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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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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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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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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies