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Field
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Science. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral communication
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programming languages such as C++, Fortran, Python, etc. Author or co-author of open literature publications Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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with physics-informed neural networks, automatic differentiation, neural ODEs, or other physics-aware DL techniques. Skill in programming languages such as Python, C/C++, Go, Rust etc. Ability to model
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the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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Second Language Studies (CASLS), Center for Asian and Pacific Studies (CAPS), Center for Global Health, Global Justice Program, Islamic Studies Initiative, Translation Studies Center, UNESCO Crossings
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, Artificial Intelligence, or a related field Strong mathematical foundation Strong programming skills in languages such as Python, Julia, MATLAB, Rust, and/or C++ Proven track record of research excellence, as
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animals and human embryonic cells. Must have effective oral and written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer
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Information Standard Hours 37.50 Union Description Post Docs - Regular Salaried Payroll Designation PeopleSoft Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please
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Forestry, Earth Science, Computational Science, or related fields. Ph.D. research experience in wildfire engineering, fire science, landscape modeling, or related topics. Experience in working with big data