65 postdoc-position-in-image-coding-"Multiple" Postdoctoral positions in United Arab Emirates
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and quantitative imaging is advantageous but not required. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted
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with diverse data types, such as vision, speech, images, and physiological signals. Experience integrating multiple modalities to build robust AI systems is an advantage Interdisciplinary Applications
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-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy applications. The position will be directly supervised by Professor Mostafa Mobasher and will involve
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collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling
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, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various research areas represented at NYUAD. The successful applicant will also
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expertise in neuro-imaging (Rokers, Abdullah) and experience applying multimodal imaging to health-related issues and public health (Ali, Cho). The positions are funded for two years with the possibility
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consisting of PhD-level scientists, graduate students and undergraduate students and across multiple institutions (Khalifa University, Cornell University). Applicants must have a PhD in Bioengineering or
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Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various
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combination of techniques such as rodent behavioral analysis, biochemical, molecular and cell biology, in vivo and in vitro fluorescence imaging, and next-generation sequencing. Position duties would include
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the safety and robustness of human-robot interaction. The postdoc will work on projects focusing on one or more of the following: Learning-Based Control: Developing reinforcement learning, imitation learning