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Field
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before the starting date; • a strong and demonstrated background in statistical mechanics; • experience with both analytical and computational methods. Experience with multiphysics simulation software
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software suitable for reproducible research and integration into clinical or prospective research workflows. Conducting retrospective, prospective, and implementation-oriented studies, including cohort
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of data and software used and developed in the project. Contribute to reporting and project management, including participation in project meetings. Publish your research results in peer-reviewed
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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in statistical software (e.g., SPSS, Jamovi, or R), as well as MS Excel and Chinese typing. Experience in the implementation of community or educational research projects will be an advantage. What We
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management, intellectual property or collaboration with industry or clinical partners. Competence in quantitative analysis using Python, R, MATLAB or equivalent software, including statistical analysis, image
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calmly under pressure. Proficiency using computers and office software packages. Excellent interpersonal skills. Must be a self-starter and able to perform tasks independently. Excellent communication and
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at least one of the following statistical software packages: SAS, STATA or R Curiosity, internal motivation, a positive attitude and a strong love of science and scientific research Fluency in spoken and
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robust acquisition, synchronization, calibration and quality-control procedures across multimodal data streams. Troubleshooting software, hardware, sensors, timing, synchronization, data acquisition and
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research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM