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: investigation of ontology-based metadata models for the machine-readable description of model structures, workflows and parameter dependencies, as well as a multi-agent architecture (LLMs, Retrieval-Augmented
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advanced machine learning models, including multimodal perception and foundation model based systems, within distributed data, training, and inference pipelines. Perform hands-on research engineering at
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shipping management efficiency. Propose solutions to Maritime industry practical challenges using mathematical modelling approaches, including traditional operations research modelling, learning-based models
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and reproducibility across the team. Machine Learning Model Development Collaborate with subject expert and software engineering team to create scalable machine learning based models for fisheries
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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Research Scientist leads innovative research initiatives in geospatial science, remote sensing, and GeoAI, applying advanced analytics, machine learning, and image processing techniques to address complex
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About the Role We are seeking a Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and Trials
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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-time UHealth IT Data Scientist. The UHealth IT Data Scientist provides expertise in data science methodologies, including predictive modeling and machine learning. This incumbent is this position designs
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(ARL) at Penn State. This role will focus on planning, executing, and delivering high-quality labeled datasets that fuel machine learning models and research outcomes. You will also contribute to data