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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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Description The RNA Modifications, Intellect, and NeuroDegeneration (RNA-MIND) Laboratory under the Biology Program, Division of Science, of New York University Abu Dhabi seeks to recruit a research
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analytical techniques. Applicants must hold a PhD or equivalent degree in mechanical engineering, solid-state physics or chemistry, or materials solid-state chemistry. Candidates with experimental skills and
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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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, programming and coding (preferably using Python and C++) along with GUI and simple computational tool development. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists
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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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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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performance in laparoscopy, endoscopy, and potentially robotic surgery. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and
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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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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
establishing collaborations across disciplines. Applicant must have a PhD in an engineering or biomedical-related field. Excellent skills relevant to the computational simulation of medical devices (3D solid