16 algorithm-development-"Multiple"-"Prof" positions at Pennsylvania State University
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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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understanding of world events, systems, and discrete entities Apply the scientific method across multiple disciplines to advance Image Science and Computer Vision and develop automated analytics through
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-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate data. You
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REQUIREMENTS: We are seeking Undergraduate and Graduate Student Co-ops to support research, development, and engineering activities of the Navigation Research and Development Division (NRDD) part of The Applied
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position includes: Experience leading development activities within a project’s scope Experience with a diverse set of processors, protocols, and toolsets This job may be filled at multiple levels, depending
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the Pennsylvania Game Commission. The technologist will play a critical role in the early development of a machine learning algorithm that will identify tree species in mixed oak-hardwood forests from aerial
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of navigation systems Algorithmic development Independently lead specific tasks within project scope Required skills/knowledge include: Strong written, oral, and interpersonal communication skills Experience
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stakeholder groups. Involving multiple industry/corporate partners in each project and setting the proper expectations. Interviewing, selecting, and placing interns. Working with industry partners to prepare
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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source data into actionable information Apply the scientific method across multiple disciplines to advance Data and Geospatial Sciences and develop data analytics through systematic experimentation Conduct