63 computer-programmer "https:" "https:" "https:" "https:" "Technical University of Denmark" Postdoctoral positions at Argonne
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. P. Chen et al., Optics-on-a-chip for ultrafast manipulation of 350-MHz hard X-ray pulses, Optics Express, 29, 13624 (2021). https://doi.org/10.1364/OE.411023 (Featured in a weekly News Release by
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to a collaborative, multidisciplinary research program focused on the chemical recycling of polymers and organometallic catalysis. You will work alongside scientists with diverse expertise to design
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voltammetry, electrochemical impedance spectroscopy, polarization tests, etc.) to advance the technical understanding of molten salt chemistry. Communicate effectively with supervisors, peers, and Laboratory
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approach for studying solution-phase chemistry with high temporal resolution. The Postdoctoral Appointee will lead the development of a novel laser-excitation scheme for solution samples delivered by a
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solver, capable of running simulations on the Aurora supercomputer, using AMReX ( https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry
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research group and with scientists from a variety of scientific backgrounds, such as microbiology, chemistry, x-ray physics, hydrology, geochemistry, soil science, and computer modeling. In this role you
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discovery and study of new quantum materials, with a primary emphasis on superconductors. The successful candidate will play a key role in the exploratory synthesis and crystal growth of novel solid
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, both focused on multimodal synchrotron characterization of defects and interfaces in oxides and 2D materials. These positions are part of a cross-facility initiative to build an “AlphaFold for
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interested in pushing the boundary of predictability. Position Requirements Recent or soon-to-be-completed PhD (completed within the last 0-5 years) in geophysical sciences, computer science, or machine
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The Argonne team is seeking two highly motivated postdoctoral researchers to help shape the next generation of secure, scalable, and continuously learning AI systems for biomedical discovery. This