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Field
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-brain barrier research. Ideal candidates will have: 1.A PhD in the life sciences 2.A solid background in cell culture and tissue engineering approaches 3.Knowledge in Neuroscience and Stem Cell Research 4
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-$75,564/year Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field. Required Related Experience Experience performing experiments, analyzing
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 15 days ago
: Hannah Alpert hannah.s.alpert@nasa.gov (650) 448-4785 Questions about this opportunity? Please email npp@orau.org Qualifications The successful applicant should have a PhD in a science or engineering
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, or a related field at the PhD level with zero to five years of employment experience. Technical background in economics with a focus on the mineral and energy sectors. Proven scholarly work or industry
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
, in collaboration with Drs. David Lu and Steven Raman, in the Department of Radiological Sciences. The position requires an PhD and/or an MD degree and demonstrated track record conducting research in
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related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Neuroscience & Experimental Therapeutics Proposed Minimum Salary $4,166.67 monthly Job Location
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 370206 Location Twin Cities Job Family Academic Full/Part Time Full
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be