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Field
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algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will work closely with our
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pipelines for large-scale scattering datasets. Participate in synchrotron experiments at APS beamlines to generate datasets that support algorithm development and validation. Work closely with ISAAC
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will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection
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leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
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strategies, and control algorithms • Strong knowledge of power electronics, drives, and control is highly preferred. Experience with hardware testing and real-time simulation will be advantageous
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foundations, focusing on the structure and complexity of quantum computational models; (ii) optimization and related graph-theoretic methods, using polyhedral geometry and algorithmic optimization (e.g., vertex
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to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dim. problems, classical (mainly finite elements, FEM) as well as alternative discr. meth. (e.g., Lattice Boltzmann
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reconstruction algorithms to relax the need for highly uniform magnetic field to conduct MRI scanning, and by doing so, to enable next generation MRI scanners to be far less expensive, ultracompact, and
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and data-driven frameworks for battery management systems, including health monitoring, early fault detection, and safety-oriented control algorithms. Investigate thermal management, fire suppression
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conditions. Work Plan Description Objectives: The main objective of this research project is to use real 2D data to optimize the workflow of FWI inversion algorithms. Methodology: 2D seismic data will be used