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of various performance technologies (Ex: GPS, force plate, heart rate, motion capture). Data analysis skills (Ex: Excel, Power BI, R, Python). Excellent verbal and written communication skills. Experience
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in advancing skills in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text
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the spring 2026 semester. Experience with Python coding is preferred. Typical duties include but are not limited to: Holding office hours Grading papers Proctor exams And any additional duties as assigned
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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(and you’re comfortable with): Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect). APIs/services: RESTful design
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., prompt engineering, fine-tuning, agent-based frameworks, or evaluation pipelines); Strong programming skills in Python; Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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attack and defense pipelines, conducting systematic experiments, and collaborating in a fast-paced, research-driven environment. Ideal candidates have strong programming skills (Python required
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auditing AI-generated code. Technical Fluency: Intermediate knowledge of SQL, Python, and data visualization. Research Literacy: Experience with survey data collection and basic data cleaning. Compensation
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contributing members of the research staff at ARL. As part of this position, the candidate may: Research and prototype unique algorithmic solutions in Python for a wide array of problems, with a focus on machine