68 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Arab Emirates
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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consisting of PhD-level scientists, graduate students, and undergraduate students, ensuring the candidate learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and
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desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students. The successful
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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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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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for cross-breeding and restoration purposes). Qualifications Required Education, Certifications, Licensing or Training PhD in biological sciences, molecular ecology, genetics or related (completed by max June
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of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics
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recent PhD degree and demonstrated experience in microbiome studies. The ideal candidate will have extensive experience with molecular biology techniques, genomics protocols including library preparation
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characterization of materials for energy harvesting and construction materials. The center has access to state-of-the-art computational facilities for high-performance computing, in addition to collaboration