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Field
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, classification, summarization, and belief or sentiment measurement. Collecting, cleaning, merging, and managing large-scale structured and unstructured datasets using Python, R, Stata, and related tools. Assisting
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problem-solving skills and working knowledge or ability to learn languages commonly used in engineering (MATLAB, python). PREFERRED: Experience teaching subjects relevant to the curriculum. This is a one
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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a reputable University Experience in sensing, condition monitoring or structural health monitoring Proficiency in basics of programming languages such as C, C++ and Python We regret to inform
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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. Responsibilities Writing codes(C++, Python, MATLAB) and running simulations related to modeling complex disordered structures, troubleshooting, and refining codes. Working with the advisor in analyzing and
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software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and
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artificial intelligence in health research. Responsibilities Assist with data preprocessing and analysis of large neuroimaging datasets Support development and evaluation of machine learning models in Python
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analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research