13 augmented-workers-using-smart-robats-in-manufacturing-cell PhD positions at The University of Iowa
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of the immune system in retinal degenerative disease. We utilize induced pluripotent stem cells, human donor tissue and mouse models of retinal degeneration to study the role of monocyte derived macrophages in
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. Required Qualifications: Candidate should be United States’ citizen or permanent resident (green card holder) Excellent communication and writing skills in English. Experience with sterile mammalian cell
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research endeavors. MAIN DUTIES AND RESPONSIBILITIES Maintain mammalian cell cultures in a sterile BSL-2 environment, adhering to safety protocols Generate reporter gene constructs and use in RNAi knock-down
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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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inducible pluripotent stem cells (iPSC) cells from patients (healthy and those of patients with cardiovascular diseases) as a platform to investigate the function of different G protein-coupled receptors
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inducible pluripotent stem cells (iPSC) cells from patients (healthy and those suffering from opioid dependency) as a platform to investigate the function of opioid receptors, the molecular movements and
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responsible for studying neuronal swelling and dysfunction after excitotoxic injury, using advanced imaging techniques (including 2-photon microscopy) and electrophysiology. The position is within the Stead
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productivity from peer-reviewed publications and scientific presentations. Candidates skilled in in vitro and in vivo studies, nanoparticle drug delivery, and RNA therapeutics are strongly encouraged to apply
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, immunofluorescence, among others) are strongly encouraged toapply. The candidate should ideally have experience using SolidWorks,Graphpad, and Adobe Illustrator. Excellent written and verbal communication skills
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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