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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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neuroscience to investigate the emergence and progression of psychopathology. Develop novel computational tools, algorithms, and analytic pipelines to characterize brain network representations underlying mental
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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) to promote nitrogen BMPs and sound nitrogen management in crop production - Secure external funding for research and outreach as relevant Job Duties/Time Distribution: (70%) Analyze current data sets related
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experimentation to perform security/cost assessment ESSENTIAL QUALIFICATIONS: ? At least a BS degree in Electrical and Computer Engineering with a good background in data structures and algorithms, logic design and
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Center’s mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
). Research activities on vegetation structure and function include opportunities to explore fundamental aspects of data fusion, including the use of sophisticated radiative transfer models to support algorithm
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows