76 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Argonne
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probes (e.g., synchrotron based X-ray reflectivity, optical holographic interferometry, scanning probe microscopy). Work includes the experimental design, interpretation of data, and the presentation
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, superconducting nanowire particle detectors and pixelized MCP-PMTs. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in experimental nuclear or particle physics or a related
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the highest concentration of top-tier research organizations in the world, Argonne leverages its Chicago-area location to lead discovery and to drive innovation in a wide range of core scientific capabilities
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The successful candidate will be highly motivated and have a strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement scientific
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PhD level with zero to five years of employment experience. Expertise in testing, characterizing, and measuring MEMS devices and designing feedback loops and control algorithms for the precise operation
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fundamental understanding of reaction mechanisms in molten salts and apply insights to process development and scale up. Project activities will include the design and development of online monitoring tools
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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mentorship, on supported inorganic and organometallic catalysts for small molecule activation as part of the EFRC Catalyst Design for Decarbonization Center (CD4DC) initiative. Key Responsibilities Design
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multidisciplinary team in heterogeneous Catalysis focusing on non-traditional catalysts and non-equilibrium catalysis • Design, synthesize, and characterize well-defined complexes supported on metal oxide or non
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through the design and synthesis of nanoscale epitaxial oxide thin films. This position supports a three-year Laboratory Directed Research and Development (LDRD) project focused on developing scalable