373 quantum-engineering-"https:"-"https:"-"https:" positions at Pennsylvania State University
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the application and evaluation of HydroFloat technology within modern mineral processing circuits. Utilize advanced electrochemical techniques to study reactions on the mineral-solution interface(e.g., OCP, LSV, CV
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mobile mapping applications and GIS technology to assist with plant records, public mapping projects, and research efforts at the Arboretum. Conduct seasonal plant field inventories in the Arboretum’s
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. Qualifications PhD, MD, or MD/PhD in genetics, stem cell biology, molecular biology, biomedical engineering, or related discipline. Experience in iPSC culture and differentiation. Experience with genome editing
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Engineers, Scientists, Technicians, and Support Personnel while providing technical and programmatic guidance to S3 Department heads. This position will be filled as either a Research and Development Engineer
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REQUIREMENTS Penn State Harrisburg’s School of Science, Engineering, and Technology invites applications for part-time faculty openings in its Computer Science program effective August 2025. Openings
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REQUIREMENTS Penn State Harrisburg’s School of Science, Engineering, and Technology invites applications for a part-time faculty opening in Physics, Astronomy, and/or Earth Science effective August 2025. Job
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and field verification activities as needed. Required Skills & Qualifications: Currently enrolled in a college program (preferably in Architecture, Engineering, Facilities Management, Information
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REQUIREMENTS The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified individual with interest
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, and applied analysis. Requirements and Qualifications Candidates should have: Currently enrolled as an undergraduate student (any relevant major; examples: Information Sciences & Technology, Social
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. Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Experience in machine learning is preferred. Successful candidates will work up to 20 hours/week during