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statistical analyses for interpretation of AD-associated loci and genes using computational pipelines developed in R, Python, or other appropriate computing language Publish original research articles both
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, classification, regression or quantitative image analysis, preferably with 3D CT data. Essential Application/interview/test Proficiency in Python and a modern deep-learning framework such as PyTorch, with
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Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity with aspects of condensed matter and BCS
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disciplines; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese; (c) be proficient in using statistical software such as R, Mplus, SPSS, Python, etc
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related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
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Learning, as well as of numerical fluid mechanics (CFD) or aerodynamics. Confident use of Python or equivalent Very good English language skills, both written and spoken (level C1), for the preparation
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well as of engine or system design, or of semantic data modelling. Confident use of Python or equivalent Very good English language skills, both written and spoken (level C1), for the preparation of international
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, including advanced statistics, spatial dispersion and concentration methods, Python and/or R programming, and/or Network Analyst (considered an asset); Experience in dashboard development and publication
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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this opportunity? Please email [email protected] Qualifications PhD in astronomy/astrophysics/astrochemistry/planetary science. Applicants with experience with Python, git/github, ai-leveraged software