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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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or Python) is required. Experience with large-scale concrete testing, modeling, and simulation (e.g., COMSOL, Abaqus) is a plus. Familiarity with AC impedance spectroscopy, electro-mechanical impedance, wave
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on adaptive evolution in invasive species, using the mesquite tree (Prosopis sp.) as a model system. This position will be based at NYU Abu Dhabi and supervised by NYUAD-CGSB’s Director, Dr. Stephane Boissinot
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power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
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models featuring rich input-output linkages. The ideal candidate should have practical experience and proficiency in handling large datasets and coding sophisticated simulations and estimations