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Field
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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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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
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experience. They will also hold, or be currently working towards, a PhD in Linguistics, Data Science, Statistics, Psychology, Education or a related field. Proficiency in R or Python for data analysis is
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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, Forest Technology, or a related field. Knowledge about Nordic forestry practices, specifically mechanized harvesting and boreal management. Advanced programming skills in Python and R for statistical
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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LevelPhD or equivalent Skills/Qualifications - Excellent knowledge in architecture of quantized and pruned neural networks - Solid programming skills, languages C / C++ / Python - Solid knowledge in
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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/or evolutionary spectral synthesis codes; c) proficient use of the astronomical data analysis software package ESO-MIDAS; d) surface photometry; e) programming in Python and at least one high-level