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Field
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-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other
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, with desirable skills including building or aligning bespoke systems. Strong programming and data-analysis skills (e.g. Python and/or MATLAB) for processing signals and imaging data. The ability
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or data-analysis languages such as Python, R, or MATLAB to process environmental datasets and implement models Evidence of scholarly activity through peer-reviewed publications, conference presentations
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such as JKSimMet, JKSimFloat, IES, or similar mineral processing software. Programming capability in Python, MATLAB, C++, VBA, or similar languages. Evidence of publication in reputable peer-reviewed
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publication records will be preferred. Experience in matlab, MEEP, RCWA and other softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong
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of study and possess working technical skills in python/MATLAB programming are preferred. The appointed position period is two years (1+1), with the first year being a probation year. Extension may be
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analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae (including completed degrees, list of publications, research
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psycholinguistics or linguistics Proficiency in data analysis and computational tools; strong programming skills (e.g., MATLAB, Python, or equivalent) Ability to lead research projects and collaborate with
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement