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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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manuscripts for publication in peer-reviewed journals. Special knowledge, skills & abilities: Proficiency in programming language such as Python, C++, R and MATLAB. Strong theoretical understanding and
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and Knowledge: Strong interest in (or be already skilled in) the development, application, and testing of hydrologic models. Comfortable with working in the python programming language. Knowledge and
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(Python/MATLAB). Capability to manage a multi-phase, interdisciplinary project with clear milestones and deliverables. Excellent academic writing and presentation skills to draft publications, reports, and
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applied to document analysis; vi) familiarity with qualitative and quantitative analysis software with textual analysis and natural language processing tools, with experience in Python or R (advanced
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such as R/Python/Java or similar languages, and familiarity with Unix-based platforms is advantageous Experience working in cloud environments (e.g., AWS) is beneficial High motivation and willingness
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) - Strong quantitative/data skills (e.g., Matlab/Python/Origin/JMP) for processing large datasets, fitting models, and producing publication-quality figures. - Track record of technical writing (peer-reviewed
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. - Familiarity with programming in MATLAB and Python. - Experience with finite element simulations in ANSYS or COMSOL. - Strong oral and written communication skills. Application Instructions Please upload
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text