45 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at Pennsylvania State University
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REQUIREMENTS The College of IST is seeking applicants for part-time job of Undergraduate Researcher in Multi-Agent Reinforcement Learning. Job duties to include: Conduct research on multi-agent deep
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integrated into a collaborative network of faculty mentors based on research alignment. To learn more about faculty research, candidates are encouraged to visit: https://ed.psu.edu/academics/departments
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REQUIREMENTS Project: Queer Code: LGBTQ+ Technology and Sociocultural Learning Position Summary The research team seeks an Undergraduate Research Assistant to support Queer Code Studio in the Department
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REQUIREMENTS Project: Voices, Outlooks, and Information Networks in Civic Engagement around Data Centers (VOICE-DC) Position Summary The AI and Data Infrastructures Learning Lab (AIDILL) in the Department
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its treatment options in patients with OSA. Newly NIH funded projects also include mathematical modeling and machine learning of models of tissue hypoxia using sleep studies and molecular markers
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to represent and interpret biological imaging data, enabling new scientific discoveries. Responsibilities include designing interpretable end-to-end machine learning frameworks to explain biomolecular condensate
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SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS
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-directed learning and resourcefulness are essential. Generative AI may be used strategically in consultation with supervisor but should not substitute for coding skills. Some familiarity with Amish and
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REQUIREMENTS The Workforce Education and Development (WFED) program in the Department of Learning and Performance Systems seeks currently enrolled Penn State graduate students to provide part-time, hourly
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appointment. Job duties Mentoring new PhD students in numerical computational projects. Conducting comprehensive literature reviews in machine learning for subsurface flow and well performance and supporting