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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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-spectrometry-based proteomic and metabolomic workflows, quality control, quantitative data processing, statistical analysis and integration of proteomic and metabolomic datasets. You will also contribute to data
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, Physiology, Biology, or a related field. Experience conducting independent research in neuroscience or a related discipline. Demonstrated experience with experimental design, data analysis, and scientific
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this project, in collaboration with the two PIs (Jelmer Borst and Leendert van Maanen). We envision that you will: (1) develop a standard HMP analysis protocol and use that to analyze and label existing data, (2
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knowledge gaps relevant to the Quality Use of Medicines, and use findings to inform study design, analysis and interpretation. Undertake data collection, data management and data analysis, including
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uncertainty analysis, process optimization, and evaluation of manufacturing scale-up pathways. Develop and apply computational models, simulations, optimization methods, and data-analysis tools to evaluate
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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mechanistic microbiology. We have a strong preference for microbiologists with experience in microbial cultivation and working knowledge in computational analysis of omics data or, equally, computational
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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data