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, composite processing, and manufacturing science to establish structure-processing-property relationships that enable high-performance multifunctional materials. The candidate will work closely with scientists
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and electrorefining at engineering-scale. Develop and test new materials and electrochemical reactions. Perform innovative experiments and electroanalytical measurements (cyclic voltammetry
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them in CNM cleanroom, and characterize them in CNM quantum labs. The postdocs will work with other team members and collaborators to perform local and network quantum experiments. The successful
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for accelerator operation. Position Requirements PhD completed in the past 5 years or soon-to-be completed in accelerator physics or a related field is strongly preferred. PhD graduates in other branches
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storage systems under the guidance of a supervising scientist. The successful candidate will play a leading role in the synthesis, characterization, and performance evaluation of advanced layered oxide
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listed below. Primary responsibilities include: Designing and simulating MEMS devices Testing and characterizing device performance Developing feedback and control strategies for precise MEMS operation
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development of next-generation AI approaches. The successful candidate will perform quantum mechanical calculations to investigate catalytic active sites and reaction mechanisms in heterogeneous catalytic
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assess vehicle technologies to quantify energy consumption, performance and cost benefits. In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains
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on chemical recycling processes and organometallic catalysis Perform mechanistic studies using reaction kinetics analysis and related physical organic and inorganic techniques Collaborate effectively within a
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning