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/processing/sectioning, immunohistochemical staining, RNA/DNA extraction/processing, qPCR, protein extraction, western blots, and cell culture techniques). Previous research work experience in ophthalmology
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record of publishing in top international journals is highly desirable. Preference will be given to those with experience working on projects related to bioinformatis, animal surgery, or artificial
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such as machine learning, programming, big data analytics, statistics, social network analysis, natural language processing, and population analysis. The appointee will work on the Master of Social Sciences
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transport theory, and mesoscopic systems are preferred. Applicants who are in the process of completing a Ph.D. degree will also be considered. A highly competitive salary commensurate with qualifications and
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astrophysics, fast radio bursts, gamma-ray bursts, and other branches of high-energy astrophysics are preferred. Both theorists and observers are welcome to apply. Applicants who are in the process of completing
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visualization. Knowledge of databases, natural language processing, and spatial analysis is preferred. Ability to monitor, analyze, and manage data to meet project needs. Strong leadership qualities, self
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vulnerable groups to address digital inequality. He / She will work closely with the PI and the project team to: Contribute to all aspects of research process, including study design, instrument development
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processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image
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interconnected world. We are particularly interested in candidates who have expertise in advanced micro/nanofabrication processes, such as nanolithography, advanced thin film deposition and etching, etc.; 3D
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous