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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/analytical characterization, data analysis, and manuscript and proposal preparation. In addition to research activities, the successful candidate is expected to contribute to the mentoring of graduate and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
/analytical characterization, data analysis, and manuscript and proposal preparation. In addition to research activities, the successful candidate is expected to contribute to the mentoring of graduate and
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the pharmacokinetics of drugs. Experience fabricating or using microfluidic chips, preferably coupled with data-analysis as described above. Attention to detail and ability to work at high levels of accuracy Ability
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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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HAICu project to help unlock the potential of cultural digital archives through multimodal use, providing richer context and a more comprehensive analysis of current complex issues in society. If
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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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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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role (i.e., the role would not aim for first or last author publications) Flexibly embark on various data analysis tasks that support lab projects that mostly consist of single-cell transcriptomics
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators