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Department at Rutgers University, New Jersey. We study reproduction, specifically molecular mechanisms of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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Spectroscopy (dwSCOS) sensor for non-invasive microvascular monitoring. 2. Perform Monte Carlo simulations for optical modeling of photon propagation in layered tissues. 3. Fabricate and characterize dynamic
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clays and oxides, a process known as chemical weathering and taking place in soils or affecting atmospheric mineral aerosols. There is now ample evidence that forests are under increasing nutritional
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researcher with experience in molecular and cellular neurobiology to study neuronal regeneration and preservation in retinal mouse models of injury and disease. This project will examine how cellular
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rodent models (mice and rats), as well as related experimental procedures. The work primarily involves animal behavior research to determine drug dosing and side-effect profiles. Prior experience in pain
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(including Crohn’s disease and ulcerative colitis) using molecular and cell biology, multi-omics technologies, murine models, and human tissues. We currently have three major focuses: 1) Innate lymphoid cells
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transcriptome within the metastatic tumor microenvironment. Working Conditions: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be
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, rheumatoid arthritis, psoriatic arthritis, Sjögren’s syndrome, and related conditions. Primary Responsibilities Conduct advanced analyses using large-scale electronic health records (EHRs), administrative
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by the CCI are a major contribution to the evidence base used to understand climate change, which drives international action. Climate modellers use the ECVs to study drivers, interactions and feedback