47 parallel-computing-numerical-methods research jobs at Pennsylvania State University
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interest and experience in marketing strategy research. Advanced statistical analysis skills, demonstrated through graduate level courses on methods and analysis, or through previous academic work Ability to
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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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. The research assistant will work on behavioral methods to assess drug use. They will assist with literature reviews, data acquisition, coding, and project management. Candidates for this position must have past
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an authorized adult per AD39. (Preferred) Graduate coursework in research ethics, methods, or educational and learning theories. (Preferred) Research interests in workforce development and higher education
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opportunity in meteorology and atmospheric science and planetary atmospheres. The ideal candidate will have expertise in synoptic scale meteorology, scientific computer programming (python and/or MATLAB), data
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similarly take multiple hours. The candidate will be expected to learn aspects of 3D-graphics software, so should have computer literacy and show competency towards learning new computer programs. Skills in
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Empower creative experimental design : Participate in discussions that refine methods and drive progress in understanding key genes and biological systems Facilitate collaboration : You’ll act as a link
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REQUIREMENTS Computer Science and Engineering is seeking applicants for a part-time AI Research Assistant – Interpretable and Verifiable AI (LLM-to-Logic Translation). Job Description: We are seeking a part-time
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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, that approach can be subjective. The WSA uses a more evidence-based method, combining scientific data, modeling, and input from stakeholders to make decisions that are more effective, efficient, and transparent