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About the Opportunity Summary: Research involves developing and implementing material models to predict microstructure, phase change and residual stress in processes in high energy processes in
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
fusion, and medical image analysis methods to improve cancer prognosis prediction in an objective and interpretable way. Our work centers on the computational treatment of medical data in oncology, with a
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 25 days ago
modeling (ROM) Some experience with various programming tools (Python, MATLAB, C++, C) Some familiarity with machine learning: predictive modeling, anomaly detection, supervised learning, deep learning
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observations be assimilated into predictive ecosystem digital twins? Can autonomous AI systems optimize environmental monitoring and experimentation? Outstanding U of A benefits include health, dental, vision
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. The current focus of the group is on transboundary and shared water resources modeling for sustainable management and binational cooperation, with a strong emphasis on hydrologic modeling, participatory
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are one reason for projects not passing the exploration stage, and seismic activity related to gas
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of the future and must be sustainably scaled up. However, seismicity is a major societal concern. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major