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with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus. Other Skills: Self-motivated with good
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with CAD software (e.g., SolidWorks, AutoCAD) or simulation tools (optional but preferred) Basic programming or scripting skills (e.g., Python, MATLAB, or similar) for data analysis or automation tasks
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://canlab.la.psu.edu/ Qualifications: Experience with programming languages (e.g., MATLAB, R, Python) and analysis of fMRI data is preferred. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Associate Degree
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recommendations in professional reports and presentations Required skills/experience areas include: Ability to perform data analysis with skills in Excel, R, and/or Python (or similar technology) Ability to explore
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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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working with others. Versed in best practices in the fields of digital humanities, computer and information sciences, data science, and/or machine learning. Proficiency in Python. Preferred Qualifications
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analysis such as C++, MATLAB, Simulink, R, or Python Creativity in problem solving Demonstrated ability to absorb a broad array of information from scientific and/or mathematical fields Ability to identify
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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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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