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. The position bridges machine learning and molecular science, with opportunities for collaboration, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE
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LS-DYNA is highly desirable. Knowledge of machine learning (ML) and large language models (LLM) and experience with SHM systems, sensor technologies, model updating, and long-term performance
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Job Purpose Working with Professor Surajit Ray, you will contribute to several projects involving the development of statistical models and deep learning framework for multimodal and dynamic medical
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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
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/indirect supervision and evaluation. •Serve as a positive professional role model, fostering peer-to-peer experiential learning and contributing to students’ professional/social development. •Communicate
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is
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Adversarial Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant
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position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills are an asset.• You have an interest in supply
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets