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cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with
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problems or enhance industry operations Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI
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and theories related to climate interactions with respect to present and future environments. You have demonstrable skills in the modelling and analysis of spatio-temporal variability of climate and
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Processes, Chemical Engineering, or a related field. • Strong background in heat and mass transfer, thermodynamics, and chemical reaction engineering. • Experience in the modeling and simulation
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California State University, San Bernardino | San Bernardino, California | United States | 8 days ago
-letters-cvs 3. Copy of your Fall 2026 Schedule (PDF, jpeg, screenshot) Work Study: Federal Work- Study Student Information: https://www.csusb.edu/financial-aid/prospective-current-students/federal-work
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the following objectives: Develop scalable analytical models that account for the full dynamic topology of LEO constellations across successive orbital snapshots, including satellite handover events and topology
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Development of simulation and optimisation models for smart charging and bidirectional charging of electric vehicles Modelling of renewable energy generation and consumption within energy communities
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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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, and leadership development through its Matrix Mentoring Model that includes scientific, senior, peer, self, and staff mentorship. About the Role This role focuses on providing individualized
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for the processing of multistatic radar data within the URANUS project. The work includes the design and implementation of a data simulator based on the physical modeling of the acquisition process through