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Field
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, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
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, asphaltenes, resins, and kerogen molecules and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will
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-class S&T products for sensitive national security missions. The selected candidate will support research efforts in signal processing and analysis, with an emphasis on the development of novel algorithms
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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Neural circuit dissection techniques Expertise in in vivo electrophysiology or single-cell resolution imaging Essential Skills Excellent written and oral communication Strong organisational and
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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data processing and analysis techniques is a plus Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Candidates with a
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. Individuals with a passion for interdisciplinary energy-system decarbonization studies aiming to inform policy and investment decision-making are sought. Applicants will have an engineering PhD, or equivalent
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. Evidence of scholarly productivity, including peer-reviewed publications or strong potential for publishing research. Effective written and oral communication skills, including the ability to communicate