1,016 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UNIV"-"UNIV" Postdoctoral positions in United States
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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(NewFoS) Science and Technology Center Connections in Quantum Information Science: A Sound Leap Required qualifications A Ph.D. in engineering, mechanics, physics, mathematics, or a related field. The
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funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively
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recommended. You may upload these in the CV/Resume section. Required Education and Experience Ph.D. in Electrical/Mechanical Engineering, Computer Science, Industrial Engineering, or a related field (by start
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to microelectronic devices and low-power, three-dimensional, non-von Neumann computing architectures. You will utilize ORNL’s unique ultra-high-vacuum, glovebox, and ambient atomic force microscopy capabilities
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19 05:00 AM UnitedKingdomTime, listed until 2026/06/20 04:59 AM UnitedKingdomTime) Position
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will