902 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at Pennsylvania State University
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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programming and software development tasks Other duties as assigned Students studying Information Science and Technology, Computer Science, or Computer Engineering are encouraged to apply. Required skills and
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not limited to: endpoint systems administration, computing support, networking, and cybersecurity. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply
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Transition (ReCET) and the Petroleum and Natural Gas Engineering (PNGE) program. The position is expected to require approximately 10 hours per week dedicated to each area. Fewer timing commitments can be
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and other engineering personnel and Collaborate with principal investigators daily Perform inspections of test articles and document results Design and implement program specific test stand hardware
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of EECS at Penn State, focuses on developing a personalized recommendation engine for microlearning content. The RA will play a key role in leveraging student performance data to deliver tailored learning
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developers, a scrum master, and product owners to scope, develop, and deliver quality software solutions Students studying Computer Science, Information Science and Technology, Electrical Engineering, or
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) Program Courses within the program, particularly the cornerstone engineering design course, assists students in learning design processes, methods, and decision-making tools while engaged in team-based
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Laboratory (ARL) at Penn State University. ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department
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, cancer biology, mucosal immunology, regenerative biology, and advanced model systems, including organoids and tissue-engineered platforms. The successful candidate will establish and sustain an innovative