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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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the EU Research Framework Programme? Horizon Europe Reference Number 101235536 Is the Job related to staff position within a Research Infrastructure? No Offer Description A call is open to award (1) post
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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were realized: uniform state preparation and interrogation of a sample of atoms. In contrast the quantum information science (QIS) toolbox has fine-grained controls now available where single atoms in
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software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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record in either: next-generation sequencing (NGS) methods, biostatistics methodologies, genetic/molecular epidemiology, and/or bioinformatics or computational biology approaches/pipelines is required
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
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of Biochemistry and Molecular Genetics (BCMG), and a faculty member in the Center for Bioinformatics and Quantitative Biology (CBQB) at UIC. The successful candidate will conduct computational research