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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A
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variation in proboscideans across North America. Responsibilities include specimen sampling, laboratory analysis using ZooMS and related proteomic techniques, data analysis and management, collaboration with
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implementation, surveys, quantitative analysis, qualitative data analysis software, team coordination, and fieldwork; publications in leading journals and experience presenting findings to public officials. How
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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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sc/snRNAseq experiments, data analysis and pathways analysis. The individual will also contribute his/her time towards writing manuscripts and review articles that directly result from his/her research
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through the analysis of oceanographic samples, interpretation and synthesis of multidisciplinary datasets, dissemination of research findings through publications and presentations, and archiving of data in
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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microfluidic reactors Experimental reactor design, fabrication, and operation Catalyst integration into microreactor systems Gas/liquid flow and reaction performance analysis Preferred Qualifications Ph.D. in
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical