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REQUIREMENTS: The Department of Biology, in the Eberly College of Science, has part-time openings for Research Lab Assistants to work in the Hines research lab within the department this academic year. The
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to candidates with expertise in polymer synthesis and cell biology. Additional Information: Interested applicants should apply online and include the following two documents: (1) a one-page cover letter detailing
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in Insect Molecular Biology, Toxicology, Physiology, or related discipline(s). The successful candidate must have completed all degree requirements by the appointment date. 2. Excellent communication
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. Experience in one of the following areas is preferred: mitochondrial physiology, protein biochemistry/biophysics, structural biology, ion channel electrophysiology. The Penn State College of Medicine is a
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(e.g., mitochondrial biology) and/or behavioral assays. This position is designed for an individual with 4-5 years of postdoctoral experience, an excellent record of publication who is seeking 2-3
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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REQUIREMENTS: The Department of Biology, in the Eberly College of Science, has a part-time opening for a Research Lab Assistant to work in the Anderson research lab within the department this academic year. The
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collaborative research in the field of pediatric oncology, with an emphasis on translational applications. Design and execute experiments, utilizing a variety of techniques such as molecular biology, cell culture
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multidisciplinary team environment. Successful applicants will have experience in biomedical engineering, microfluidics, cell signaling and/or vascular biology. Our regenerative medicine program is a collaborative
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, translational science, hands-on lab benchwork on cell biology, immunology, and animal tumor models; design and conduct experiments; generate, analyze, and evaluate data present results in an organized manner