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this initiative will contribute to shaping the future of education by addressing pressing questions around AI-driven personalization, data privacy, algorithmic bias, and educators' utilization of generative AI
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electronic and pneumatic controls systems and components to maintain HVAC comfort control in university buildings. Performs preventive maintenance and calibrates electronic and pneumatic controls and sensors
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment