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simulation, TEA and LCA, and have a good knowledge of current and future resource recovery and separation technologies. The successful candidate will 1) collect data pertaining to battery recycling, battery
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samples with significantly higher temporal resolution than traditional scanning methods. The selected candidate will simulate and design the experimental setup, and then perform single-frame ptychography
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The Applied Materials Division at Argonne National Laboratory has an immediate opening for a postdoctoral appointee. The candidate will perform simulation campaigns to generate data augmenting a
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oscillators driven by the storage-ring RF signals to fulfill the function of manipulating X-ray pulses. More specific responsibilities include MEMS design and simulation, testing and characterization
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to the Lab’s broader effort in CH4 and CO2 utilization R&D. The role will require the individual to work with personnel that perform machine learning and molecular simulations and electrochemical device testing
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Experience with optical characterization and EO device testing Background in quantum devices, nonlinear optics, or microwave photonics Working knowledge of simulation tools such as COMSOL or Lumerical
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. Education: Ph.D. (< 5 yrs. since Ph.D.) • Familiarity with image processing and simulation software. • (Preferred) Experience with nanofabrication, transport measurements, thin film deposition, in-situ TEM
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model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Experimental data analysis in hadronic physics Superconducting electronics and sensors Detector simulations