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learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include: Proven track record of publications
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parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering
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University Abu Dhabi, seeks to recruit a post-doctoral associate to work on crystal structure determination using electron or X-ray crystallography. Candidates must have substantial experience in
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structure determination using electron or X-ray crystallography. Candidates must have substantial experience in crystallography, specifically in the structure solution and refinement of small molecule
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, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding
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, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email
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cover letter, curriculum vitae with full publication list, statement of research interests, at least two reference letters and a transcript, all in PDF format. Please visit our website at https
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vitae with a full publication list, transcript, statement of research interests, and three letters of reference, all in PDF format. If you have any questions, please email Dr. Mahmoud Rasras at mr5098
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contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu . Applications may be submitted on https
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer