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patterns and regulatory mechanisms. The candidate should: Possess a PhD degree in bioinformatics, genomics, computer science, statistics, or other related fields Have at least 3 years of relevant post
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tasks in accordance with IT governance framework and standards. Requirements: Academic & Professional Certification • Degree in statistics, engineering, computing, or related fields. • At least 3
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, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data
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. Qualifications: •Doctorate’s degree in computer science, Data Science, Engineering, Statistics, or a related field with a strong emphasis on AI and machine learning. •Demonstrated experience in the development and
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or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field Applied experience with statistical modelling (hypothesis testing), machine
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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the statistics and scores for each student after evaluation Assist in the administrative work during the audit of the SEP applications Any other administrative support of the SEP selection process Qualifications
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operations research, econometrics, statistics, or related field • Evidence of managing research projects • Evidence of ability to conduct high-quality research • Background relayed to Causal inference
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, i.e. STEM background • Comfortable scripting in and performing data analysis in Python or R, and Unix-based systems. • Experience in conducting statistical analysis (regression, analysis of variance