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Field
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-on programming skills in R and Python, acting within server-side development environments such as RStudio, JupyterLab, and RSConnect, and will document development decisions and contribute to knowledge-sharing
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deploying multi-agent architectures, tool-using AI agents, or retrieval-augmented generation (RAG) systems. Advanced Technical Skills: High proficiency in Python and modern AI/LLM orchestration frameworks
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, delamination, metastability effects) Identify gaps and contradictions in reported degradation knowledge and formulate hypotheses that connect findings across studies Develop data analysis procedures (Python
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processing, or simulation (Python, MATLAB) Experience mentoring junior researchers Salary and Rank Special Instructions Applications received by October 1, 2026 will receive full consideration. However, we
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for CLIA laboratory, including SOP use, assay controls, stability assessment, and discrepancy review. Gain experience analyzing assay performance metrics using tools such as R, Python, or laboratory data
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Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field
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, game-theoretic analysis, network problems, decision analysis, or behavioral economics Proficiency in a scientific computing or statistical programming languages (e.g., Python, R, Julia, C++, or MATLAB
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 1 day ago
, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis. The goal of these quantitative systems pharmacology models is to define
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Proficiency in Python for geospatial data handling, model workflows, and scientific computing Strong communication skills and enthusiasm for interagency scientific research Application Requirements A complete
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Python · Experience with high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent