32 parallel-processing-bioinformatics Postdoctoral research jobs at NEW YORK UNIVERSITY ABU DHABI
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the frontiers of developmental biology and disease modeling. The laboratory integrates stem-cell biology, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and
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students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Associate position must
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competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is
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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
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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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security. Candidates need to be skilled and comfortable with experimental work in cyber security. Although a postdoctoral/research associate candidate will be preferred, this position may also be filled by a
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against
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expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental