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Field
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, including water, CO₂ and nitrate electrolysis, with a particular focus on improving experimental workflows and enabling reliable, high-throughput data generation and analysis. Project PID2025-172289OB-I00
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for the treatment of these diseases, with a focus on ion channels. Our work combines in vitro and in vivo model systems, human tissue analysis, hormone secretion assays, electrophysiology, (live) imaging, molecular
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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution
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skills (Python / MATLAB / LabVIEW), laboratory experience (optical/biological) and/or knowledge of advanced data analysis methods will be an added advantage, fluent English, reliability, good work
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of reliability of results - Critical analysis of the results - Contribution to lab member formation The Ecology Society and Evolution department is located in the Paris Saclay University in Gif-sur-Yvette (South
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must be inferred from the data. The overall goal is to develop reliable and robust statistical methods that can contribute to scientific understanding and inform decision-making and public policy
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composition, processing, microstructure and performance, with particular emphasis on durability and reliability under extreme space environments. Research objectives The project will investigate the development
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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related fields.MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics data
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experience in image-based phenotyping, artificial intelligence applied to grapevine breeding, genome-wide association studies (GWAS), genomic selection (GS), and statistical analysis. Mandatory requirements