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to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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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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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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development. ⢠Genotype-Phenotype Correlations in 9p-Related Syndromes: Investigating the genotype-phenotype correlations in 9p-related syndromes (e.g., 9p deletion syndrome, 9p duplication syndrome
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
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development. • Genotype-Phenotype Correlations in 9p-Related Syndromes: Investigating the genotype-phenotype correlations in 9p-related syndromes (e.g., 9p deletion syndrome, 9p duplication syndrome
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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