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Field
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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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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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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the prediction power of clinical outcomes. Domains of applications may include cancer and cardiovascular diseases, and neurodevelopment disorders. The post-doc will also work on software development (in R, or in
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tool in the development of next-generation sustainable materials and beyond. Responsibilities and qualifications Your responsibilities will include: Developing software for analyzing both elastic strain
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. Additional responsibilities include mentoring and supervising graduate and undergraduate researchers, coordinating student research activities, supporting the development of research software and experimental
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, quantify nonlinear interactions, and advance scientific understanding of coastal ecosystem resilience. Curate and develop reproducible AI-ready datasets, computational workflows, and research software
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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