16 computational-complexity-"U.S"-"U.S" Postdoctoral positions at Chalmers University of Technology
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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nanocellulose and graphene suspensions, polymer nanocomposites, hydrogels, adhesives, and various biomaterials (e.g. biofilms, tissues). Dynamics of complex fluids – Our work examines thixotropic yield stress
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reliable and sustainable components more affordably and more efficiently. Due to the complexity of the research, an integrated framework combining experiments, simulations, and data-driven methods is
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the complexity of synthesizing conjugated polymers and on developing processes that are compatible with continuous flow chemistry. The goal of your project will be to achieve the reproducible synthesis of high
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well as other initiatives around repairability, is unclear. The postdoc will explore impacts and challenges for different actors involved, including ensuring a steady supply of spare parts, the complexities
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metocean conditions. Prior research highlights the importance of stall conditions for optimal sail performance and safety, while also demonstrating the complexity of airflow around sails and ship structures
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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods