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mathematical research, undergraduate and graduate teaching (1+1), and departmental and university service. At the time of appointment, candidates are required to have a PhD degree in Statistics/Mathematics or a
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Statistics (Ref: FST241106) Job Description Candidates with expertise in one or more of the following areas: Linear Algebra, Calculus, Statistics and Probability, Regression Analysis, Multivariate Analysis
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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and Liberal Arts. Candidates must have a PhD in computer science, mathematics/statistics, or closely related disciplines and an international reputation in research and scholarship. An established track
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at BICMR, focusing on both methodological research in Statistics and the application of statistical methods to solve real-world problems in medicine and public health. The research will specifically involve
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. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Computer Science, or a related quantitative discipline. Strong statistical, computational, and communication
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, Statistics, Artificial Intelligence, Parallel and Distributed Systems, Cryptography, Computer and Network Security, Computer Vision, Image Processing, Natural Language Processing. Job Requirement Candidates
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, Financial Derivatives, Risk Management in Finance, International Finance, Fixed Income Securities. Job Requirement Candidates should have earned PhD in Financial Engineering or Financial Mathematics from a
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Applied Economics (Ref: FBM231103) Job Description Candidates with teaching interest and key research strength in one or more of the following subject areas: Statistics, Applied Mathematics, Econometrics
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that strengthen research outcomes. About You Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related