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and transmission dynamics using large datasets. Strong working knowledge of Python and R programming language is essential. The applicants should have a good command of spoken and written English and
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) strong programming skills in Python, with experience in deep learning frameworks. Applicants are invited to contact Dr Shi Danli at telephone number 2766 4825 or via email at danli.shi@polyu.edu.hk
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(e.g., VASP, Quantum ESPRESSO) and experience in using MLFFs (e.g., MACE, NequIP, or GAP) and scripting languages (Python). Applicants are invited to contact Dr He Zhengda at telephone number 2766 6191
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management, mathematics or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and Microsoft Office Suite, which includes Word, Excel
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; (f) be proficient in Python, R, or Stata; (g) have experience with SQL, Spark, or distributed computing frameworks; (h) be able to work independently, taking initiative, and demonstrating
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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies for estimating population immunity against infectious diseases, to analyse large and