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of the analytical techniques used to characterize the materials. Experience in the application of such materials to water treatment is preferred. The candidate will work in a multidisciplinary
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uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping skills. Strong analytical and communication skills; ability to work both
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skills. Strong analytical and communication skills; ability to work both independently and collaboratively. Desirable: Familiarity with modern in-process or embedded query engines (e.g., DuckDB, SQLite
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engineering, or related field. Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and surface patterning as well as membrane characterization) are required
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven
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skills. Strong analytical and communication skills; ability to work both independently and collaboratively. Desirable: Familiarity with modern in-process or embedded query engines (e.g., DuckDB, SQLite
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and performance analysis, Proven track record of publications in relevant IEEE journals and conferences, Strong verbal and written skills in English, Excellent analytical and problem-solving skills and
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technologies. Experience with membrane fabrication, testing, and characterization. Solid analytical and problem-solving skills; ability to work independently and collaboratively. A strong publication record with
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will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor