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Field
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); familiarity with phase-noise / linewidth / RIN measurement and coherent detection is a strong advantage Competent in scripting and data analysis in Python or MATLAB, with comfort using version control (Git) and
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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab/LabVIEW) Applicants preferably
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(e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and visualisation will be an advantage. Some research and/or clinical
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a strong computational focus. Applicants with interdisciplinary degrees are welcome. Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one
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DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and
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inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant computing languages Documented research experience or educational
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groups/populations. Preferred Qualifications PREFERRED QUALIFICATIONS: 1. Demonstrated experience with Linux/Unix environment, Python, and PyTorch. 2. Demonstrated experience with programmable network
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) would be an added advantage Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication
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research. Familiarity with statistical, qualitative, or analytic software (e.g., R, Stata, SAS, Python, NVivo, or similar platforms). Demonstrated record of scholarly writing, policy analysis, publication