677 structural-engineering-"https:"-"https:"-"https:"-"https:"-"Dip" Postdoctoral positions in United States
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Field
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echocardiography. Duties include (but are not limited to): Perform small animal cardiac structure and functional analysis and conduct coronary ligation surgeries. This includes independently performing small animal
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-mediated knockdown (KD), and validation of engineered cell lines. Executes molecular and biochemical assays such as qPCR, Western blotting, FACS experiments and analysis, ELISA, flow cytometry, and
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Description The Levine Lab at Duke University is recruiting a full-time Postdoctoral Research Associate to join our group. We are broadly interested in understanding the forces that structure plant communities
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fieldwork and collaborating with students from other disciplines such as engineering, data analysis; writing manuscripts and preparing presentations. Background knowledge desired: Doctoral degree in community
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, atomic physics, optical physics, electrical engineering, materials science, or a related field Experience in photonic and/or superconducting device nanofabrication Experience working with lasers and
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to shared resources and facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically
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Posting Details Position Information Posting Number PG191104PD Position Number 00110484 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140301 - Civil Construction
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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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science. Position Requirements Ph.D. (completed or soon to be completed prior to the start of the appointment) in Physics, Materials Science and Engineering, Electrical Engineering, or a closely related
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced