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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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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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Apply Now Who We Are We, the staff and faculty of the U-M Cardiovascular Center (CVC) team, are committed to advancing medicine and serving humanity through living and teaching our core values of
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experiments using tools such as cell imaging, CRISPR, chemoproteomics, protein purification or structural biology are required. Desired Qualifications* Programming skills in Python or R are desired. Modes
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analysis in a research context Proficiency in R and/or Python for statistical analysis and pipeline development Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian
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environment for innovative scientific discoveries. The ALS is a global leader in soft x-ray science, and aims to maintain its leadership with ALS-U, a major project to upgrade the facility to a fourth
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analysis, coding in Python and R, is desired Prior experience with mouse models of cancer is advantageous Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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or projects) Experience with high-frequency transport experiments at low temperatures Proficiency in computer-based data acquisition and processing (e.g., Python, C++, LabView) Proven track record of high
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analyze large administrative and research datasets. Develop quantitative data analysis pipelines using tools such as Python, Stata, R, or similar statistical programming languages. Assist with occasional
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/network analysis, solid mechanics, materials science, soft condensed matter physics, or computational modeling. Experience with data analysis or computational tools using MATLAB, Python, or similar