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servers have been significantly more successful than institutional repositories, we believe the same model can easily be applied to detailed, structured metadata about datasets, while the datasets
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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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Leadership Computing facility (https://www.alcf.anl.gov ) and the Laboratory Computing Resource Center, collaborations with experimental efforts at the Material Science Division (https://www.anl.gov/msd
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NVIDIA BlueField, AMD Pensando or similar. Driver Development: Develop and optimize Linux kernel modules and userspace drivers (DPDK) to manage flows. Hardware/Software Co-Design: Collaborate with optical
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology
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science, computation, and clinical research. We are seeking a postdoctoral researcher to join the ERC Starting Grant project SINGuLAR (https://cordis.europa.eu/project/id/101219388 ) at the Balzer Lab
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postdoc’s duties will include research within invertebrate biology, cell biology and marine ecology as well as some teaching. Further information on the Department is linked at https://www.science.ku.dk
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for acoustic metamaterials/metasurfaces; use simulation and data-driven optimization; contribute to listening tests and VR-based soundscape evaluation; build or test prototypes; publish results; and contribute
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inflammatory bowel diseases, optimization of checkpoint cancer immunotherapy, complications of liver disease, autism, C. difficile infections, and others. This provides a unique model for real-world drug