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sponsors; and documentation of findings in reports and papers. Candidates with five years of industrial experiences and programming in Matlab and Python are preferred. BACKGROUND CHECKS/CLEARANCES Employment
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: Education in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Economics, or a related field Experience with Python and data cleaning/analysis Experience with research workflows
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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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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., 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
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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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, Computer Science, or a related field. Basic understanding of Python programming. Familiarity with natural language processing concepts is a plus. Strong analytical and problem-solving skills. Ability to work