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Field
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers and engineers, with an excellent proven track record, to develop efficient water
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the impact of collective effects in high space-charge regimes. The Accelerators and Ion Sources Pole of LPSC is involved in the design, construction, and operation of the PERLE machine, particularly in
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?s success. Job Overview The P&G Digital Accelerator@UC is seeking a motivated PhD toxicologist or pharmacologist with expertise in transcriptomics for a 24-month post-doctoral position partnering with
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In 2014, our team developed a compact proton linear accelerator (linac) design for an accelerator-driven system (ADS) aimed at nuclear waste transmutation, based on state-of-the-art niobium
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The Theory and Modeling Group at the Center for Nanoscale Materials (CNM), Argonne National Laboratory (near Chicago, Illinois), invites applications for a postdoctoral appointment focused on theory and simulation of the electronic structure of polycrystalline and defective two-dimensional...
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - The Accelerated Materials Lab for Sustainability (AMLS), to lead the development of perovskite photovoltaic devices as part of a
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Engineering, is seeking a Postdoctoral Research Associate. This is a full-time position supported by a Department of Energy (DOE)-funded collaboration project between ASU and Fermi National Accelerator
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for two highly motivated Postdoctoral fellows to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab
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Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific discoveries into innovations that improve the quality of life for people in
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operando data related to battery degradation and safety. You will develop and implement advanced deep learning models to analyse multi-modal operando data from accelerated stress testing, with the aim