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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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the future of C5ISR systems. Responsibilities Implement and harden agent/runtime services (Python + C++/Rust), data models, and APIs (gRPC/REST); package for edge compute deployments. Build and maintain
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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have: A PhD (awarded or near completion) in computational biology, bioinformatics, ecology, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C
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, Python, or Mplus. Global collaboration: Coordinating expert meetings and maintaining partnerships with international collaborators, governments, and academic institutions. Research leadership: Developing
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as assigned. LICENSES, TOOLS, AND EQUIPMENT: R, SAS, Python. Required Qualifications REQUIRED QUALIFICATIONS: 1. Doctoral degree in biostatistics, statistics, mathematics, computer science, or a
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for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans