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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite
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07.12.2022, Academic staff The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in quantum networks
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. The successful candidate will contribute to UNITY (Ultra-low-field Neuroimaging In The Young). UNITY is a multinational network of specialist neuroimaging centers and clinical partners led by King’s and funded by
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visualization and decision-support tools to communicate results to technical and non-technical audiences. Publish research in peer-reviewed journals, contribute to sponsor reports and technical deliverables, and
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Engineering and the Center for Interacting Urban Networks (CITIES) at New York
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networks that govern the dynamics of dissipative supramolecular assemblies. Main responsibilities of the candidate will include: Develop theoretical frameworks and quantitative models describing non
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 4 days ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view