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Field
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with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 hour ago
standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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methods to ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on
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3 Dec 2025 Job Information Organisation/Company INSA Strasbourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Proposed Start Date 01/05/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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Barts Charity, aimed at realising the full potential of Genes & Health and other large-scale health datasets to estimate rare disease prevalence and identify genetic associations in South Asians. About
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Barts Charity, aimed at realising the full potential of Genes & Health and other large-scale health datasets to estimate rare disease prevalence and identify genetic associations in South Asians. About
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Computer Engineering. Level Scope: After earning a Ph.D., the next step in the academic or research career path is often a postdoc. A postdoc is a continuation of a researcher’s training that enables them
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
$62,000- $70,000 Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear