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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Study Development: Conducting literature review, designing studies
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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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to ten years of research experience. Prior experience with electrophysiological and/or brain imaging data collection and/or processing. Experience and/or training in programming (e.g., Matlab, Python, etc
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Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
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dynamic and diverse experience across various finance areas. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal
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and interest in working with custom-built or modified instruments Solid programming skills (e.g. Python) are desirable Ability to work independently and self-reliantly, while maintaining strong teamwork
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, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development and data processing and visualization with Python Strong interest in atmospheric
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publications at internationally renowned venues in machine learning. Solid mathematical background, distinct analytical and numerical skills. Solid programming skills (e.g. Python, C++) Excellent ability
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Science, General, or Software Development. Must be proficient in Java and Python. Must have a minimum GPA of 3.0. The position is competitive, so all applicants will be required to demonstrate their skills
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study to be used as parameters in the model. 4) Model Implementation: Implement the model in Python, perform testing, and validate its performance based on the collected data. Applications must be