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disabilities, and veterans are encouraged to apply. Education The successful candidate: Has a Ph.D. in microbiology, infectious disease biology, pharmaceutical sciences, biomedical engineering, chemical biology
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. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical
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organizations to support strategic research planning and interdisciplinary partnerships. Required Qualifications Ph.D. in Engineering, Computer Science, Manufacturing, Aviation, or a closely related field. Strong
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scientists, engineers, and member partners to facilitate networking and collaborative research. About the Institute for Innovation Science: Our mission is to advance society’s understanding of the mindsets
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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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and future research proposals. Qualifications Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date) Strong
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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an exceptionally motivated, innovative, and independent Postdoctoral Research Associate to join a highly collaborative research program focused on RNA therapeutics, targeted drug delivery, extracellular vesicle
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variants. Please express interest by applying and submitting your CV and a personalized cover letter. Education Ph.D. required in a computational field (Data Science, Computer Science, Computational Biology
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling