166 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Arab Emirates
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation tools Excellent publication record in peer-reviewed journals Strong written and
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) Country United Arab Emirates Application Deadline 21 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging-derived Biomarkers to Predict Health Outcomes: Neurological problems, such as stroke
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emerging spectrum (FR3, MMW, sub-THz/THz) Extreme massive MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless
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for Rokers Vision Lab reporting to Dr. Bas Rokers. 1) Linking Retinal, Neural, and Perceptual Deficits in Visual Disorder: Individuals in the UAE are at substantial risk for perceptual deficits due in part to
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications Experience in
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through computer simulations and/or experimental validation. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international