790 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Pennsylvania State University
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REQUIREMENTS We are seeking BBH students who are dedicated and student-focused to provide academic support and foster student engagement through evening drop-in sessions and scheduled appointments. The Learning
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systems, devices (including fabrication) and sensors, robotics and automation, artificial intelligence and machine learning, advanced electronics, and communications. Our faculty are particularly encouraged
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REQUIREMENTS The Department of Nutritional Sciences is seeking applicants for part-time job of learning assistants to help with NUTR 100 for academic year FA 2026/SP 2027. Job duties to include: answering emails
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(ARL) at Penn State. This role will focus on planning, executing, and delivering high-quality labeled datasets that fuel machine learning models and research outcomes. You will also contribute to data
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work processes Proficiency with Microsoft Office 365, with the ability and willingness to perform basic computer tasks and learn computer programs Preferred Skills/Experience areas include: Advanced
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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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research project investigating self-supervised visual learning inspired by human perception. Responsibilities may include developing and evaluating machine learning and computer vision algorithms
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provides technical and administrative support for an interdisciplinary research project focused on computational behavioral neuroscience, computer vision, and machine learning analysis of rodent behavior
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for an engineer who enjoys building reliable, scalable systems for machine learning, data-intensive research, and advanced computing workloads. The successful candidate will work across GPU systems, HPC platforms
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who enjoys building reliable, scalable systems for machine learning, data-intensive research, and advanced computing workloads. The successful candidate will work across GPU systems, HPC platforms