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genomics, proteomics, imaging, computational biology, and advanced cell and tissue modeling. Faculty will have opportunities to collaborate across departments and centers focused on precision health, host
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. Direct experience in crisis response and case management procedures, preferably in a higher education setting. Demonstrated computer proficiency (word processing, spreadsheet, and database systems
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of the department programs Preparation and execution of department budgets Proposal and project development Support strategic planning initiatives Interact and collaborate regularly with program management, program
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platforms and attention markets Assist with statistical, computational, and text-based analysis Maintain reproducible workflows and support research summaries, pilots, and writeups Required Qualifications
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framework to track Key Performance Indicators (KPIs) including Cost Per Lead (CPL), Cost Per Acquisition (CPA), and conversion rates by channel and program. Optimization: Utilize analytics to continuously
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the community food system Develop students’ leadership skills and support their leadership in the program through peer-to-peer campus and community initiatives, and assist in the recruitment and retention
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Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Machine Learning
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field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences showing independence and innovation
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exposure to, and training in developing theories and computational methods for systematic coarse-graining. The successful applicant must have prior experience with the Bottom-up Open-source Coarse-graining
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(ARL) at Penn State. Interns will have the opportunity to work developing cutting-edge AI/ML techniques to solve problems in computer vision and geospatial understanding. Students selected will serve as