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Field
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the integrity of the integrated image database and could invalidate downstream algorithm development and validation, resulting in loss of research time and funding. Mishandling of glass slides or tissue blocks
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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therapeutic targets. Develops and applies machine learning and statistical modeling approaches for biomarker discovery, classification, prediction, and patient stratification. Develops algorithms and
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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Rossier RG at INL. Job Duties The job duties will be the following: Analog quantum algorithms for quantum search and optimisation based on quantum Hamiltonian evolution. Quantum algorithms for simulation
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. The student will support research activities including implementing and testing algorithms, conducting experiments, reviewing technical literature, analyzing results, and assisting with research publications
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
engaged in SMAP algorithm heritage and NISAR-era high-resolution soil moisture development at JPL, and participate in multi-mission integration research spanning SMAP, NISAR, and ROSE-L. This opportunity
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support all aspects of the research project. Carry out algorithmic development and data analysis, including (but not limited to) single-cell and spatial transcriptomics. Implement state-of-the-art
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), Prof. habil. Oliver Ernst (TU Chemnitz, Germany), and Dr Youssef Marzouk (Massachusetts Institute of Technology, USA). The project aims to develop the next generation of Bayesian algorithms for large