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programming skills in Python and/or R; experience with STATA, MATLAB, or SQL is advantageous. Experience with aviation, airport, airspace, flight trajectory, or transportation datasets. Strong publication
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languages such as Python, C or C++. Familiarity with Linux-based development environments, software debugging and testing tools. Knowledge of network communication, protocol analysis, vulnerability assessment
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Madagascar, and ULTIMASero, a large cohort study with collaborators in Senegal, Cameroon, and Madagascar. Required skills: • Strong programming skills (R or Python or other) • Familiarity with Git / GitHub
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, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Strong programming experience in Python
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pavement field performance data. A record first author publication in high impact civil engineering journals. Knowledge, Skills & Abilities: Proficiency in Python programming Database management skills
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with strong relevant industry experience will be considered. • Background in Python programming is strongly preferred Only shortlisted candidates will be notified. Hiring Institution: NTU
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‑focused computing environment. Demonstrated expertise with one or more scripting or programming languages, such as Java, Perl, Python, and/or VB (.NET), ReactJS, Ruby, and/or PHP Approximately 1 year+ of
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, and modeling tools (e.g., Python, MATLAB, TCAD, photonic simulation software). Strong analytical, problem-solving, communication, and teamwork skills, with the ability to work independently in a
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Models. Experience with deep learning frameworks such as PyTorch or TensorFlow. Proficiency in programming languages including C/C++, Python, Java, and Go. Familiarity with Digital Content Forensics
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vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research. Independent, highly analytical, proactive and a team player