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Intelligence, Data Science, Electronic Engineering or a closely related discipline. You will have practical experience of Python for machine learning or data analysis, including experience of implementing
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more about logical zonotopes: paper link: https://lnkd.in/e-avQ-2B talk link: https://lnkd.in/eYGWFKmy You will conduct original research on logical–zonotope–based methods for model checking and digital
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statistical software (R, Python, SAS, or similar); English proficiency for reading, writing, and presenting; full-time residence in Piracicaba. Desirable requirements Experience with large datasets and metadata
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, Python and R. Equipment Utilized Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), Microsoft Teams, SharePoint, Adobe Acrobat, Qualtrics, database and project management software. Physical Demands
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg
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, formulate conclusions, and inform team leaders. Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (R preferred, Python acceptable). Contribute
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/geospatial analysis (e.g., Python, R, GIS) skills are considered an asset. Applicants are asked to submit one bookmarked pdf file: (1) curriculum vitae; (2) a maximum 1-page letter of interest describing your
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to engage with patients and real-world healthcare challenges.• Strong programming skills in Python; experience with deep learning frameworks such as PyTorch or TensorFlow is highly desirable.• Proven research