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collaborations, and the analysis of omics or proteomic data would be advantageous. In return we offer an excellent benefits package including: • 38 days annual leave (pro rata for part time) • Hybrid working
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assessment in infants or young children. Experience of longitudinal or cohort research, data analysis, research proposal development, global child health or cross-cultural assessment would be advantageous. You
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part of a team undertaking a novel analysis of how artificial intelligence is (re)shaping youth transitions both in Ireland and cross-nationally. They will engage in mixed-methods research, co-organise
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. This will be accompanied by qualitative analysis of data collected through the project to produce synthetic outcomes on the contribution that mobilities make to our understanding of transformational
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quantitative, qualitative, and mixed methods, including survey design and analysis, survey experiments, interviews, and ethnographic methods. The post holder will take a role in all stages of the research
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. Participates in experiment design and evaluation; executes experiments; performs data analysis; reports to principal investigator (PI); Develops new methods for research; develops and details understanding
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neuroscience, mouse genetics, reproductive biology, single-cell or spatial genomics, in vivo imaging, cellular/molecular immunology, or GPCR signaling. • Quantitative and data-analysis skills (e.g., R, Python
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Columbia Center for Translational Immunoogy | New York City, New York | United States | about 17 hours ago
communication skills. Familiarity with flow cytometry, in vitro immunoassays, gene expression analysis, and the isolation and culture of immune cells is highly desirable. Columbia University Irving Medical Center
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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investigators. Biostatistics methods will include complex survival analysis, longitudinal analysis, machine learning, and causal inference. You will benefit from access to unique datasets and expertise from two