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. Qualifications Essential Qualifications: PhD in computer science/engineering with expertise in a security or privacy research topic. Less than 5 years post-receiving the Doctoral degree. Excellent analytic, design
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-doctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical skills are required and prior experience in soft matter or biological physics
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NYU Abu Dhabi and NYU New York). It is expected that applicants have a strong publication record in the aforementioned areas. The applicants are also expected to have strong analytical, communication
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natural language processing (orthography normalization, grammatical error correction, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its
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, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its establishment in 2014, the CAMeL Lab has produced over 200 publications and 20 language resources
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, robotics, or digital construction technologies is highly desirable. Strong programming and analytical skills, excellent written and verbal communication skills in English, and the ability to work effectively
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analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB
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-physical systems, digital twins, BIM, AI and machine learning, robotics, or digital construction technologies is highly desirable. Strong programming and analytical skills, excellent written and verbal