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to commercialize the wastewater treatment technology developed in the lab Assist in related R&D work and train new students Requirements and Qualifications Experience in wastewater treatment Minimum bachelor's
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designed to maximize the professional development of its participants and provides a research stipend. Initial offers will be made in January 2026. Applicants must complete the Penn State application and
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for an internship for Fall 2025. The successful candidate will support staff and transdisciplinary research teams from Penn State. The part-time intern will participate in developing, supporting, and collecting data
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focuses on cancer prevention through screening initiatives and community cancer education. Responsibilities include supporting cancer prevention research projects by developing study materials, assisting
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. Perform routine duties using established procedures with coordination and effective communication with the PI. Teamwork & Leadership - Independently develop and implement laboratory policies, update
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research team focusing on developmental therapeutic studies to identify and validate potential drugs for treatment of hematologic malignancies. Incumbent will develop and maintain patient derived xenograft
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development of models that capture the kinetics of point defects and their interaction with electronic charge carriers under various conditions, including electric fields and irradiation environments. Key
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. The successful candidate will work closely with multidisciplinary teams to develop field-ready technologies and improve our mechanistic understanding of subsurface hydrogen generation. Key Responsibilities
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REQUIREMENTS The Stress Psychophysiology Lab in the Department of Biobehavioral Health in the College of Health and Human Development is seeking research assistants to work up to 24 hours per week. The Research
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the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop computationally efficient reduced-order