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Fraunhofer Institute for Photonic Microsystems (IPMS). We in the »Data Communication & Computing« division are using our work to enable novel communication networks for autonomous driving, high
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modeling brain circuits and neural activity from large-scale, multi-regional recordings Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding . The goal is to develop new
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providers, or vendor partners; oversee data sharing agreements, ethics/privacy compliance, and on-site testing. · Produce high-quality peer-reviewed publications, technical reports, and policy briefs
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in or experience (whole or in part) with Deep Learning, various neural network architectures and auto-encoders are strong assets. Specific experience with use of high-performance computing, advanced
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technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous high-tech start-ups). In order to support the research, IDLab
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genomics, proteomics, or metabolomics. Experience with relevant machine-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments. Knowledge of molecular and cellular biology
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high‑impact tools that serve the UAE, the wider Arab world, and global society. We are seeking a Junior Research Scientist to join the team to work under the theme of Computational & Interactive Health
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high‑impact tools that serve the UAE, the wider Arab world, and global society. We are seeking a Junior Research Scientist to join the team to work under the theme of Computational & Interactive Health
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considered an advantage if you have: Knowledge of rarefied gas dynamics, kinetic theory, or modelling approaches bridging continuum and non-continuum flow regimes. Experience with high-performance computing