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& AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. We are particularly interested in applicants with a demonstrated track record of translating discoveries
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information about the study programme Offer of dissertation topics: Advanced computational frameworks for interactive spatial transcriptomics analysis of CNS disorders Codon Degeneracy as a Source of an
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radiation in the 20–40 eV range, corresponding to the expected operating values for the abovEF instrument under development. Analysis of the detector's response serves to optimize the spectrometer's optical
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exposures and human health, e.g. distributed lag nonlinear models, spatial Bayesian methods, case time series, case crossover; have experience with the management and analysis of large climate and/or health
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expertise in biostatistics and spatial data analysis. - Expertise in machine learning. - Advanced expertise in signal processing (accelerometric/gyroscopic and acoustic). - Experience writing scientific
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
) instruments into the GEOS model for its near-real-time aerosol forecast known as the GEOS Forward Processing (GEOS-FP) system as well as in its various reanalysis systems (e.g. Modern-Era Retrospective Analysis
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methods for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). The department values an informal atmosphere with strong collegial support, openness, and
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. Experience in holistic/systems thinking, modeling, analysis, architecting, and design is desirable. Smart, Connected, and Healthy Communities: Smart Integrative Energy Systems The Ezra Systems Post-Doctoral
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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profiling to determine the spatial and functional requirements of enhancers, and (4) tissue processing and molecular analysis of patient-derived clinical samples. The Eyler laboratory possesses a rich