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, or Python. Proficiency in using electromagnetic simulation software packages Strong interpersonal and communication skills, with the ability to collaborate effectively in a team environment. Strong problem
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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, or cybersecurity Ability to develop prototypes in Python (e.g. with PyTorch, LangChain or similar frameworks) Familiarity with LLM prompting, RAG pipelines, or goal-driven agentic workflows is a plus Excellent
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(Excel or Power BI) and in at least one data science tool (Python or R) and have prior experience working with other stakeholders to deliver successful learning outcomes. Experience in performance
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analysis in Python or R Experience analyzing next-generation sequencing (NGS) data Experience with mass spectrometry-based immunopeptidomics data analysis is a plus Hands-on expertise with version control
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, Ethical Position Statement, and Mission of Grand Canyon University What You Will Bring: Preferred: Master's in Computer Science, Statistics or closely related degree AND proficiency in Python. Minimum
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intelligence, or a closely related field such as computer engineering, psychology, or biomedical engineering. A solid foundation in experimental methodology, Python programming, machine learning, and statistical
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis