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) measurements and ODMR. Knowledge on optical and electrical semiconductor defect characterization. Experience with data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with
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tools used in AI or interactive system development (e.g., Python, Max/MSP, Unity, Unreal, etc) is an advantage. Applicants should possess understanding of user-centred or participatory design methods and
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participate in the research environment at GAMUT. Fluency in programming and digital tools used in AI or interactive system development (e.g., Python, Max/MSP, Unity, Unreal, etc) is an advantage. Applicants
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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS or similar frameworks. • Experience with simulation tools like
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computing (HPC) or cloud-based big-data pipelines. Experience with large-scale human genomic, omics, or brain imaging datasets. Strong programming skills in Python, R, or MATLAB, with emphasis on data
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: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar motivation, and potential for research within seafood
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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory
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evidenced in relevant publication(s) Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant