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strategies against misinformation influence perceptions of climate change, emotional engagement, social norms, belief systems, and resilience against propaganda. The position is ideal for individuals with
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conferences. Candidates should hold a Ph.D. in Physical Oceanography or related discipline, with demonstrated expertise in numerical modeling and data analysis. Strong communication skills and a record of peer
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fundamental mechanisms of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging
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assays; viability assay; western blotting; comet assay; gH2AX stainig, DNA fiber assay; monoclonal antibody production and analysis). Abilities to work with small animals. Abilities to inoculate tumor
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. The position will include design, execution, analysis, presentation, and publication of data derived from functional laboratory studies of specific problems in oncology, specifically non-Hodgkin lymphomas and
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experimental work. Proficiency in flow cytometry analysis and immunological assays. Strong background in research, particularly in immunology or related disciplines. Excellent data analysis and interpretation
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on experimental approaches, data analysis strategies and publication strategies. Weekly implementation of projections, in consultation with Dr. Alejandro Caicedo. Islet culture and maintenance, mouse colony
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analysis and produces written reports on results. 5. Collects pilot data to help support new and competing renewal applications. 6. Supervises undergraduate and graduate research students and performs
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, who is also skilled in scientific writing, publication management, data visualization, and statistical analysis. The selected candidate will work closely with the Associate Director of Scientific
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analysis and produces written reports on results. 5. Collects pilot data to help support new and competing renewal applications. 6. Supervises undergraduate and graduate research students and performs