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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
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is highly desirable Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview 75% – Design, Perform, Execute, and Disseminate Research 15% – Proposal Development 10
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interdisciplinary team working on the development of digital twin models for critically ill patients in the intensive care unit (ICU). This position offers a unique opportunity to contribute to a cutting-edge project
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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development (e.g., conferences and workshops). About the Li Group The Li Group focuses on advancing the sustainability of water and energy infrastructure through integrated experimentation and modeling
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development (e.g., conferences and workshops). About the Li Group The Li Group focuses on advancing the sustainability of water and energy infrastructure through integrated experimentation and modeling
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work closely with the postdoc to provide tailored mentoring plans based on their career goals, and will fund activities for professional development (e.g., conferences and workshops). About the Li Group
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research on the quantification, fate, and transport of microplastics impacted by PFAS in the environment. The position is funded as a part of the DoD’s Strategic Environmental Research and Development
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, and collaboration on grant proposal development. With an expected hire date of Spring 2026, the 12-month position comes with a one-year hire commitment, and further extension, depending on funding
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in observational work, help mentor graduate students, attend journal clubs/coffee meetings/colloquia at CCA and Rutgers. Funds for conference travel and professional development will be provided