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matter -A record of research independence, accomplishment, and creativity -Mentorship experience and/or experience working on a team Please apply online at https://www.princeton.edu/acad-positions/position
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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center/education/postdoctoral-fellowship-in-childrens-nutrition) . Attends
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role in immune modulation. In addition, the lab also has a robust program in development of small molecule inhibitors as therapeutic option for these cancers. The lab has previously identified multiple
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Experience M.D. or PhD Required Qualifications A qualified candidate must hold a doctoral degree in a relevant field such as biomedical engineering, computer science, public health, or a related discipline
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and/or Work Experience M.D. or PhD Required Qualifications A qualified candidate must hold a doctoral degree in a relevant field such as biomedical engineering, computer science, public health, or a
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. Occupational Summary Anne West’s lab at Duke University in Durham, North Carolina USA (https://www.neuro.duke.edu/research/faculty-labs/west-lab ) is seeking a postdoctoral fellow with experience in nuclear cell
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Writing Center, focusing on junior papers and senior theses, while also assisting the lead faculty member in preparing for the upcoming fall semester's SPI 298 course. Applicants must apply online at https
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
record of scientific productivity and innovation. Ideal applicants will have expertise in virology, molecular biology, gene delivery, immune cell therapy, computational modeling, immunology, bioengineering
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters