39 modelling-complexity-geocomputation Postdoctoral positions in United Arab Emirates
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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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complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will
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trajectories and enhance interaction safety and robustness. Learning for Human-Robot Interaction: Integrate machine learning techniques, such as reinforcement learning and generative models, with control theory
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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation
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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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include monitoring, modeling, and controlling the operations of multimodal transportation systems, new vehicle technologies, urban mobility, research at the intersection of traditional traffic flow theory
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, cardiovascular, and neurologic diseases. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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on the followings will be preferred: PCB board design (Altium or Allegro) FEM modeling with HFSS or COMSOL Locomotion sensors NYUAD is ranked #1 in the UAE by the Nature Index for high-quality research output while