90 embedded-system "https:" "https:" "https:" "https:" "Cardiff University" Postdoctoral research jobs at Argonne
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Strong data analysis skills: familiarity with modeling and/or data-science tools is beneficial but not required Excellent written and verbal communication skills and the ability to work effectively in a
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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The Computational Science Division (CPS) at Argonne National Laboratory (near Chicago, USA) is seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices
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The Applied Materials Division (AMD) at Argonne National Laboratory is looking to hire a Postdoctoral Appointee – Materials Science. The Applied Materials Division conducts applied research
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The Advanced Photon Source (APS) POLAR beamline is seeking a Postdoctoral Appointee to develop and employ advanced high-pressure instrumentation for x-ray spectroscopy and scattering techniques
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among material properties, electrochemical performance, and battery system cost at the material, cell, and pack levels. The researcher will plan and advance performance and cost modeling of energy storage
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autonomous experimental campaigns, this position is suited for a highly energetic and self-driven researcher willing to work in highly collaborative teams. This position will involve a considerable amount of
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This position will be dedicated to research projects aiming to unravel the fundamental interfacial processes in membrane and ionomer materials employed in energy conversion systems such as critical
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, and evaluation in distributed and privacy-aware settings. While the position is supported by an AI for Science project on privacy-preserving federated learning, the broader objective is to advance
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
part of the DOE–BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC) , a multi-facility collaboration integrating experimental modalities and simulations to enable an orchestrating