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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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Skills/Qualifications Strong background in Operating Systems and Linux development Knowledge of memory management mechanisms and system-level programming Experience with Machine Learning models (design
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. The Opportunity: The successful candidate will focus on developing advanced machine learning and mathematical optimisation frameworks for energy system modelling, particularly under the growing presence of offshore
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory Science – Leveraging drug development and regulatory
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and modeling research. •Compile and analyze current scientific data on GHG emissions in freshwater ecosystems, focusing on CO2 and CH4 emissions. •Acquire, organize, and evaluate GHG emissions data from
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expertise in any area of mathematics who study or apply computational techniques such as artificial intelligence, data science, machine learning, statistics, formal methods, numerical methods, computational
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of the correctness of software and hardware systems using machine learning. Recent advances in neural certificates—such as neural model checking and neural termination analysis—have shown promising results in
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with colleagues from a wide range of backgrounds and areas of expertise Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think