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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty
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accelerator laboratories, the R&D work of the Liverpool Hadronic Matter Group focuses on the development of Monolithic Active Pixel Sensors (MAPS), the state-of-the-art silicon sensor technology for high
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systems. You will support digital project delivery and the University's Smart Campus initiatives, integrating spatial and sensor data to enhance building performance, space use, and user experience. From
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Health Monitoring (SHM), Structural Dynamics, Sensor Integration and Processing, Internet of Things (IoT), Machine Learning (ML), Predictive Maintenance This is a 30-month Knowledge Transfer Partnership
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on their expertise, successful candidates may be asked to teach: Introductory programming classes Core undergraduate CS classes such as: Human Computer Interaction, Database Applications, Algorithms and Data
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algorithms: exploring and designing training strategies (e.g., supervised finetuning, reinforcement learning, or new alignment protocols) or inference-time scaling methods suitable for low-resource settings
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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other Harvard Medical School-affiliated hospitals. Analyze sequencing data, for example from RNAseq, ssRNAseq, and ChIPseq experiments Deploy existing programs and algorithms to evaluate other
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit