2,438 phd-computational-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United States
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supervised by Dr. Ali Trabolsi Required Education, Certifications, Licensing or Training PhD in chemistry. Preferred Education, Certifications, Licensing or Training PhD in chemistry having research topic
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laboratory instrumentation and follow applicable safety standards. Qualifications: Appropriate PhD. A well-qualified candidate will also possess: PhD. In Chemistry. Experience in inorganic and organometallic
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and work with a computational analyst and other collaborators on more sophisticated analyses of spatial transcriptomics datasets. · Assist and train junior team members and collaborate with and
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damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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references. Responsibilities Work under the mentorship of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a
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motivated and creative Postdoctoral Research Associate to join our lymphoma research program. The successful candidate will work at the interface of cancer biology, functional genomics, and translational
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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ability to independently lead research projects. Candidates must also be comfortable working with and mentoring graduate and undergraduate student researchers. To be eligible for this position, a PhD in
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August 2026. The Center supports empirical research on democratic political processes and institutions. PhD required. Each post-doctoral associate will pursue research and contribute to the intellectual
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with