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proficiency with at least one statistical programming language (R, SAS, Python, etc.). Strong record of scholarly productivity, including peer-reviewed publications. Excellent written and oral
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experience Demonstrated expertise and experience in process simulation software (ASPEN/DWSIM, Excel VBA Programming, Excel and Python coding Demonstrated experience in engineering economic analysis including
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datasets (e.g. video, acoustics, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using deep
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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(GDAL, Rasterio), and cloud geospatial platforms (e.g., Google Earth Engine). Proficiency in programming languages such as Python and R. Posting Detail Information Salary Range $41,000 - $98,160 Job
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fundamentals Experience with Python-based experimentation frameworks Familiarity with evaluation metrics (precision, recall, F1, statistical testing) Experience using local LLM infrastructures (e.g., Ollama
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, Public Health, or a related health sciences discipline. Demonstrated experience with quantitative data analysis and proficiency with at least one statistical programming language (R, SAS, Python, etc
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programming skills in at least one of the following (Python, MATLAB, Julia). Please ensure you read the Job Description and Person Specification for full details of this role, by clicking the 'Apply' button
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experience applying these methods to real-world systems and technologies. Familiarity with software tools such as SimaPro, OpenLCA, Aspen Plus, MATLAB/Python, and data visualisation platforms. Demonstrated
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, documentation, and presentations) - essential for data analysis and communication with stakeholders Proficiency in hard skills, such as programming (Python, C++), machine learning frameworks (PyTorch, TensorFlow