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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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. If necessary, the applicant selected for the position will be trained in indoor localization. § Good computing skills and proficiency in some programming languages, such as C/C++ and Python, and MATLAB is
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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, urban stormwater, and/or water reuse technologies · Experience with computer programming (e.g., MATLAB, Python, or R) · Experience with statistical and process-based modeling of water resources systems
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in the one of the relevant fields. Degree must have been received within the past five years, or anticipated to be received by 5/31/2026. Preferred skills: Proficiency with Matlab and Microsoft
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(e.g., carbon, nutrients, oxygen) or transient tracers such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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analysis Solid programming experience (e.g. Python, R, MATLAB, GAMS or similar) Interest in environmental risk, emissions analysis, and sustainability transitions. Ability to work both independently and
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: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with