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protocols to analyze lipid fluxes and membrane organization. They will also participate in data analysis and interpretation, as well as the dissemination of results through scientific publications
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stable isotope analysis, fatty acid analysis or other biochemical tracers used to study diet composition and food-web dynamics. Competence in processing and analysing various monitoring data for population
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projects, including conducting surveys, interviews, and focus groups with students and stakeholders; Conduct literature reviews and contribute to data analysis, including statistical analysis using SPSS
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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at the Institut Chevreul on the scientific campus, offering privileged access to state-of-the-art spectroscopy and surface analysis equipment. This project is part of the ANR NAPTIME initiative, an ambitious
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inform project direction. Data Analysis: Assist in analyzing collected data using statistical software or qualitative analysis techniques. Report Writing: Contribute to writing project reports, research
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possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal
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program structure to best support the business needs of the program. Reporting – 30% • Serve as a strong practitioner and leader in business analysis and report development, leading the team as a resource
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, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice