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, or GovCloud equivalents), including containerized or scalable ML workflows. Strong software engineering fundamentals: version control, modular design, testing, documentation, and reproducibility. Proven ability
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, programming, supports software management and distribution, team participation, coordinating with research activities, etc. Executes simple test plans, develops conversion and system implementation plans and
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systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software Engineering: Excellent software development skills with proficiency in Python
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, design, development, implementation, testing, documentation, maintenance, and upgrading of human resources software applications for the organization. Leads core Human Resources Information System (HRIS
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longitudinal datasets from mother-infant cohort studies. Apply advanced biostatistical methods (e.g., mixed-effects models, mediation analysis, survival analysis) to examine associations between early
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modern ML/AI development workflows. Experience with C++ and/or Java for performance-critical components is a plus. Demonstrated experience designing, implementing, and testing end-to-end ML/AI software
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Technician will perform an array of duties, including: (1) Working safely with, in, and around lab equipment; (2) Assembling/installing equipment or parts; (3) Performing tasks/tests on equipment and
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. Experience contributing to the design, implementation, testing, or evaluation of ML/AI‑enabled or simulation‑driven software systems. Hands‑on experience with machine learning frameworks (e.g., PyTorch
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workflow. Experience with C++ and/or Java for performance-critical components is a plus. Demonstrated experience designing, implementing, and testing end‑to‑end ML/AI and/or simulation‑driven software
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of duties, including: (1) Working safely with, in, and around lab equipment; (2) Assembling/installing equipment or parts; (3) Performing tasks/tests on equipment and instruments; (4) Configuring, operating