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, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position
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systems, and algorithmic decision processes, as well as their applications across a wide range of domains. Within the SILS liberal arts program, we seek a candidate who can complement and strengthen our
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Data driven epidemiology and biology of infection cover research that will transform our understanding
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of Electromechanical Engineering, under the following conditions: Research Field: Informatics Engineering relaed fields Objectives: The objective of this grant is: (1) to support the programming of AI algorithms
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in which all members have diverse roles. A hybrid or remote work agreement may be considered for this position. Learn more about our team here: https://med.stanford.edu/pans.html . Duties include
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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sensing for aero-optic applications. The goal is to advance the wavefront sensing capability and include TIP/ILT estimates in the algorithm. Why should I apply? Under the guidance of a mentor, you will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
to semantic pipelines and algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types