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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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operational systems with large numbers of atoms. The recent demonstration of high-fidelity gates, and the implementation of error-corrections codes have positioned NAA-based QP at the forefront in
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. • Willingness to work both individually and with a team. • Ability to write mathematical proofs, to design experiments, and to code. More Information Location: Kent Ridge Campus Organization: College of Design
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of the feasibility assessment for the community-based falls intervention. This process also includes verifying and coding verbatim transcripts from these interviews to maintain data integrity and
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to validate hypotheses and explore novel material behaviors. Leverage data analytics platforms, coding skills, and simulation environments to enhance process understanding and improve outcomes. Contribute
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, codes, and calculations with minimum oversight. • Perform simulations to assess various study design options and analysis approaches. • Monitor discretionary spending in a team to ensure that spending is
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constructive feedback, and strong organizational skills Passionate and clear about your own research interests Adept in running statistical analyses (e.g., Stata, R, SAS, MPlus) and/or in coding (e.g., Python
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Proficiency – Strong skills in machine learning, federated learning, and biometric systems, with practical coding proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow). Problem Solving