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Tranplantation and Regenerative Medicine Postdoc Appointment Term: 1-year term (Renewal is based on performance -- Max of a 5 years) Appointment Start Date: As Soon As Possible Group or Departmental Website: https
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
, computational biology, or related disciplines 2) Ability to work in highly collaborative teams, a strong track record of innovative research contributions, and strong work ethic. 3) Some experience with organic
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Group or Departmental Website: http://marketdesign.stanford.edu (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford
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postdoctoral fellowship positions on our newly funded NIAAA Institutional Research Training T32 program, Training in Research on Alcohol use and its Consequences and Etiology (TRACE). The goal of this program is
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. Please see our recent publications at: https://med.virginia.edu/le-lab/publications/ Minimum Requirements: Doctoral degree A Postdoctoral Research Associate position is training preparatory for a full-time
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to enable candidates to develop their pedagogical skills and a robust scholarship program in an undergraduate engineering context. Post-doctoral associates will teach within the Engineering curriculum while
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full demonstrated financial need of every accepted student for their entire undergraduate program. Please visit the college website for more information (www.hamilton.edu ). Create a Job Match for
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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program Additional qualifications (required at time of start) PhD or equivalent international degree. No more than three years of post-degree research experience. Preferred qualifications A PhD or
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-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but involves close interactions with experimental