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Department BSD AFA - Accounting and Financial Analysis About the Department The University of Chicago biomedical enterprise houses three entities: the Biological Sciences Division (BSD
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Advisor: Luís Manuel De Jesus Sousa Correia (ist12076) Organic Unit: Scientific Area of Telecommunications Scholarship Theme: Analysis of Integrated Sensing and Communication Capabilities in 5G and Beyond
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for visa sponsorship. End date for position: 12/31/2026. Job Responsibilities: 1) Evaluation Implementation and Analysis (45%) Organize and Analyze Data: Organize, code, and analyze qualitative and
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
selection of appropriate desorption processes. Finally, a techno-economic analysis will be conducted to assess the operational feasibility of implementing the treatment at Séché Environnement sites. Research
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: Experience with flow cytometry analysis (preferred) and longitudinal neurobehavioral assessments. * Surgical Mastery (Critical): Substantial experience and strong proficiency in rodent stroke models (tMCAO
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data that the post-doc would analyze. Data analysis projects would be used to examine and compare data sets to search for trends and differences spatially and temporally. Examples of recent work
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and immune trafficking models. High-Resolution Imaging: Proficiency in spatially-resolved multiplexed imaging and confocal whole-mount tissue analysis. scRNA-seq: Experience designing 10x Genomics
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system at Global Modeling and Data Assimilation Office (GMAO) has been supporting NASA research and Earth Science missions. Among the millions of observations assimilated at each analysis cycle in the GEOS
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to clean and organize incoming JHHCC and CNICS data. Identify potential problems with study data and collaborate with data managers to resolve issues. Read concept sheets and draft statistical analysis plans