70 image-processing-postdoc-"https:" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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, Naval or Aerospace Engineering. Is less than 5 years post receiving the Doctoral degree. First-author peer-reviewed published papers (and/or under review). Demonstrable research experience involving
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contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center
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quantitative imaging is advantageous but not required. Applications will be accepted immediately and candidates will be considered until the position is filled. The successful candidate will be appointed as a
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, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and early embryogenesis, translating these insights into regenerative medicine, drug discovery, and
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
research is preferable. Prior experience in the experimental techniques used in the lab such as optical tweezers and quantitative imaging is advantageous but not required. Applications will be accepted
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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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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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cover letter, curriculum vitae, a statement of research interests, and the contact information for 2-3 referees, who may be contacted during the selection process. The research statement should outline
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, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and early embryogenesis, translating these insights into regenerative medicine, drug discovery, and
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mission is research and education in artificial intelligence, specifically focusing on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic