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The Role and Department This role sits at the exciting intersection of the Department of Engineering and the Department of Mathematical Sciences. Engineering and Mathematical Sciences at Durham
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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NIH R-level funding. Additional responsibilities include pursuing independent and collaborative funding opportunities through federal agencies, foundations, and professional organizations, and providing
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efforts aimed at commercializing these technologies and moving them toward clinical application. Applicants should have a PhD in biomedical engineering, optics, physics, electrical engineering, mechanical
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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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participant, you will train under the mentorship of scientists, engineers, and staff while completing a mission-focused research project. During the 10-week appointment, you will receive a bi-weekly stipend
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, IF, IHC, RT-qPCR). Designs and executes gene editing and molecular cloning experiments, including vector engineering and target validation. Contributes to grant applications and manuscript preparation
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 13 days ago
. The Durability, Damage Tolerance, and Reliability Branch (DDTRB) conducts a broad-based research and technology program that quantifies behavior, durability, and damage tolerance of structural materials; develops
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), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand algorithmic intent, architectural