9 experiment "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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couple automated synthesis, high-throughput screening, and online/in situ characterization with active-learning and Bayesian-optimization pipelines to guide experiment selection Build agentic artificial
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Environmental Sciences, Mathematics, Physics, and Psychology. The Department of Chemistry and Chemical Biology (“CCB”) ( https://cos.northeastern.edu/chemistry-chemical-biology/ ) includes 38 tenured/tenure-track
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conferences and in research publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis, along with excellent
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, dissemination of results at conferences and in research publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis
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, or similar modern frameworks is a plus. Familiarity with ML model operationalization (MLOps), experiment tracking, and reproducible research pipelines. Experience collaborating with multidisciplinary
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). Exposure to dashboarding or BI tools for analyst-facing or leadership-facing reporting Familiarity with MLOps concepts, experiment tracking, or reproducible research pipelines. Experience working with
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development for technical or analyst‑facing tools (e.g., Svelte , React, or similar frameworks). Familiarity with MLOps concepts, experiment tracking, or reproducible research pipelines. Experience
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technical applications, dashboards, or analyst‑facing tools (e.g., Svelte, React, or similar frameworks). Familiarity with MLOps practices, experiment tracking, and reproducible research pipelines
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tools (e.g., Svelte, React, or similar frameworks). Familiarity with MLOps concepts, experiment tracking, or reproducible research pipelines. Experience working with multidisciplinary teams across