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, or willingness to acquire these skills) and have experience in archival research and/or (2) experience in computational methods of text mining, analysis, and visualization (e.g. Python) or analysis of biodiversity
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Strong analytical, research, and scientific writing skills Proficiency in Python for modeling and machine learning applications Effective communication, teamwork, and presentation abilities Self-motivated
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, presentations, and draft manuscripts. Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation. Competent in soft skills, such as problem
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Knowledge of programming, e.g., R, Python, etc. is preferred. The initial appointment will be offered on a fixed-term contract for up to six months. Re-appointment thereafter will be subject to performance
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mathematical modeling Programming skills using PYTHON confirmed by publications/certificates or participation in projects where this programming language was used Fluent knowledge of English confirmed by
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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properties of thin film samples - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combine these properties into a hybrid metrology digital wafer - Perform
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as
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algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a
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. Experience with data analysis using language models is beneficial. Experience in the usage and configuration of Linux-based systems. Very good programming skills in Python. Knowledge of another programming