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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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innovation. Our state-of-the-art facilities support advanced manufacturing processes involving biopolymers, bioplastics, and other functional materials. Through strong collaborations with industry and
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studios and maker spaces, experimenting with materials, processes, and concepts. Together, our faculty and students prototype using robots, drawings, and models, and engage in collaborative reviews
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techniques and other imaging techniques for measuring flow field details such as velocity, structure, species, and temperature. Candidates with expertise in creative measurement techniques for unique
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). The Furst Lab at OWML conducts research on emerging contaminants, organic matter, redox and disinfection processes in One Water systems. OWML is located in Northern Virginia in the suburbs of Washington DC
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Qualifications A PhD or PhD-equivalent doctoral degree in computer science, computer engineering, electrical engineering, or a closely related field; a record of scholarship commensurate with rank; evidence of
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, and contact information for 3 references. Required Qualifications - PhD in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering or a related
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of mutual interest. Required Qualifications - PhD in computer science or computer engineering with background and expertise in any of the following areas are sought: formal verification, proof assistants and
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operational functions, supervising support staff, and ensuring office coverage and coordination. • Overseeing FDC records processes and workflows. Required Qualifications • Bachelors degree in business, public
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include, but are not limited to: Assisting in recruiting prospective students and advising current students on departmental programs (4+1, Online MS, Traditional MS, PhD, and graduate certificates