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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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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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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
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establishing collaborations across disciplines. Applicants must have a PhD in an engineering or biomedical-related field. Excellent experimental skills relevant to the project (computational simulations, device
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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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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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, analyzing the data on dynamics in individual behaviors. Successful applicants must have a PhD in computer science, digital technology, mathematics, or related fields with demonstrated experience in developing
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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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measurements for RIS enabled communication environments, as well as processing and analyzing the collected data. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications