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materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail
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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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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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scientific discipline or equivalent experience is required. Additional Qualifications ● Should have a demonstrated proficiency in R and/or Python, or related languages. ● Experience with and solid understanding
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recognition; (b) experience in system development and integration; and (c) proficiency in using Python or other scripting languages. Applicants are invited to contact Prof. Kong Aik Lee at telephone
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
publication, and grant/proposal development. • Experience with hands-on prototyping, experimental research, interdisciplinary collaboration, and data analysis using tools such as Python, MATLAB, R
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/scholarships/nus-research-scholarship/) • Strong written and spoken communications. • Demonstrated strong research interest, skills, and experience. • Proficiency in programming languages (e.g., Python
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programming skills, with experience in R, Python or comparable scientific computing environments. · A record of rigorous research and peer-reviewed publication appropriate to career stage. · Ability to work
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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