13 assistant-professor-and-data-visualization PhD positions at The University of Iowa
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Molecular Biology and Ophthalmology and Visual Sciences in the University of Iowa Carver College of Medicine, respectively, are seeking to hire postdoctoral researchers to determine molecular mechanisms and
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of new PET probes that can aid in detecting therapy resistance of various tumor lesions in a patient and new approaches for targeted radioligand therapy. Benefits: 401(k) Dental insurance Flexible schedule
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which evaluated molecular tumor board assisted care versus usual care for stage IIb-IV Non-Small Cell Lung Cancer (NSCLC) This position will offer numerous opportunities for the right candidate to hone
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communities in the nation (Livability.com). To learn more about our great community, please click here . And for more information about Why Iowa?, click here. Applications will be accepted until the position is
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with protein purification, biochemistry, and/or structural biology techniques are especially valued, but not required. Online Application Required Documents Curriculum Vita Name and Contact Information
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; radiopharmaceutical dosimetry with novel agents and/or software techniques; alpha particle RPT radiation biology modeling and analysis of clinical trial data. For additional information on a subset of expected
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of retinal degeneration. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters of Interest Number of References: 3 To start the Online Application process
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website: https://glykys.lab.uiowa.edu Position Responsibilities Record, plot, analyze and interpret data independently using electrophysiological and imaging techniques, including two-photon and whole-brain
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will subsequently help us to develop new ligands to specifically treat patients suffering from these common diseases and to develop more precise medications in the future. We will use nanoparticle
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of instructional behaviors needs to be analyzed as well as the collection of novel, mixed-methods data to determine the extent to which readily-implemented observational tools (i.e. COPUS) can be used to identify