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Doppler analysis. Experience in wireless channel modelling for LEO satellite links, including atmospheric propagation effects. Proficiency in Python and/or MATLAB; C++ is an added advantage. Knowledge
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. Proficiency in Python and/or MATLAB; C++ is an advantage. Proficiency in satellite communications systems, NTN architectures, satellite ephemeris correction methods, and orbital simulation tools (STK, GMAT
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. • Proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django. • Familiarity with relational databases (e.g., PostgreSQL, MySQL) or NoSQL solutions (e.g., MongoDB
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design, alignment, operation, and advanced characterization techniques, including laser-based and imaging setups. Competent in scientific programming and data analysis (e.g., Python/Matlab), with strong
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/scholarships/nus-research-scholarship/) • Strong written and spoken communication skills. • Has proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis tools
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methodologies and support reproducible data curation practices Job Requirements: Bachelor’s degree in Chemistry, Data Science, Computer Science, or a related field Proficiency in Python for data processing
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studies would be advantageous. Scripting ability (e.g., Python) for simulation automation, post-processing, or coupling FEA outputs with downstream risk models. Experience translating engineering simulation
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and convex optimization. Prior experience in software development in machine learning systems is highly desirable. Proficient in Python and ML frameworks such as PyTorch. Independent, highly analytical
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C++, Python, and Linux systems to join the Future Mobility Solutions research program. The successful candidate will work on the development, testing, and fine-tuning of self-driving vehicles, ranging
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Python SDK alongside the current full-stack lead. Implement the FHE bootstrap key onboarding flow for clients running encrypted inference. Wire Stripe billing and metering into the platform. Own backend