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performance. The postdoc will apply their skills and expertise to develop tools to bridge this gap and solve our most cutting-edge drug delivery challenges. Responsibilities Generate new research strategies
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learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models
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systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing
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: Investigating novel optical materials and technologies Developing and optimizing optical system designs using simulation tools Characterizing and testing optical system performance Collaborate with cross
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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Ragon Institute of MGH, MIT and Harvard. Postdocs will engage in studies on HIV-1 viral pathogenesis, immune defense and clinical HIV eradication trials. For more information, please visit lab websites
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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 6 hours ago
Open Date 04/18/2025 Posting Close Date Special Notes to Applicants UNC Charlotte Postdoc Benefits Information: https://gradlife.charlotte.edu/postdocs/benefits The candidate chosen for this position
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human brain tissue to determine radiotracer binding affinity, selectivity, and tissue distribution. Perform in vivo PET imaging studies in small animal models (e.g., rodents/nonhuman primates) to evaluate
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging