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candidates must be within numerical methods for ODEs and PDEs. A solid background in both the following fields is required: Numerical analysis for ODEs and PDEs Scientific programming using Python, MATLAB, C
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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity with aspects of condensed matter and BCS
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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processing, or simulation (Python, MATLAB) Experience mentoring junior researchers Salary and Rank Special Instructions Applications received by October 1, 2026 will receive full consideration. However, we
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to develop, simulate, and critically evaluate mechanistic models rather than relying solely on descriptive data analysis. Scientific programming ability in Python, MATLAB, Julia, C/C++, or a comparable
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proficient in R). Proficiency with Python, MATLAB, and SQL a plus. · Demonstrated competence with GIS, geospatial analysis, and mapping. Ability to automate production of maps and other geospatial operations
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, optical instrumentation, programming (MATLAB, Python, or C++), or biomedical imaging. Candidates with strong experimental skills and an interest in translating fundamental engineering advances into clinical
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development