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Field
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/03/10 04:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Feb-26 Location: Buffalo, New York Type: Full-time Categories: Academic/Faculty Engineering Internal Number
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
the energy transition Experience and competency in quantitative analysis, including applied econometrics Experience in applied theoretical modeling a plus Proficient at statistical software, e.g., STATA
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Position Summary The Mass Spectrometry Technology Access Center (MTAC) at WashU Medicine in St. Louis is seeking highly motivated applicants for a postdoctoral position with an immediate start date
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Cornell University, Systems Engineering Position ID: Cornell-Systems-POSTDOC [#27468] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853, United States of America
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, workforce development, or human-computer technology design. Experience with translation, applied, or design-based research. Experience with data analysis software and digital research tools. 55% Research
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scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research
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) simulations and reduced order modeling of turbulent and reacting flows relevant to advanced propulsion and power generation systems, such as gas turbines and detonation engines. The successful candidate’s
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(HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters. Software Engineering: Knowledge of version control (Git), containerization (Docker