394 algorithm-development-"Multiple"-"Prof"-"University-of-Wisconsin-Madison" positions
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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start the development of a project. Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning, and forecasting Identify data sets needed
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development, the national security institute will advance national security in pursuit of a secure America. Within the Institute, multiple motivated applicants are sought to join as Research Faculty to support
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commensurate with experience. Position Summary Reporting to the School of Nursing Director, the Skills Lab/Simulation Coordinator, manages operation of the skills lab and simulation center for the multiple
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. Statistical Analysis, Modeling, and Analysis Planning (20% initially, increasing to 45% as the project progresses) Develop, draft, and implement analysis plans that outline statistical methodologies, algorithms
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Massachusetts College of Art and Design | Boston, Massachusetts | United States | about 2 months ago
the campus, empowering users to leverage data in a way that enhances institutional effectiveness. Furthermore, the RPA will apply a social justice framework when developing algorithms, creating data structures
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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sources to a concrete use case and develop code to test the efficacy and efficiency of algorithms against real-world data. The Front-End Developer will build upon wireframes and concepts created by a UX
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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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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group