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working at University of Houston More Jobs from This Employer https://main.hercjobs.org/jobs/21900191/post-doctoral-fellow-big-data-algorithms-group Return to Search Results
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candidate will focus on implementing efficient and scalable data storage modes for large-scale mass spectrometry (MS) data and on development of improved and interactive visualization of MS data. In addition
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locally, in the cloud and in the Galaxy workflow system. The successful candidate will focus on implementing improved data representation and storage modes for large-scale mass spectrometry (MS) data
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. - Solid experience in large-scale biodiversity data analysis and the use of statistical models. - Strong writing and communication skills. - Flexibility and adaptability. - Rigorous and self-motivated
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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We are looking for a results-oriented postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs