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science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture. Experience in low-latency RPC, network stacks, distributed systems, host data plane
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within
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) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane intelligence (e.g., reinforcement learning for scheduling
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Explanation of generative large language models Location: The work will take place at the University of Ljubljana, Faculty of Computer and Information Science. The faculty hosts over 150 researchers working in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 16 days ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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type (employment contract/scholarship): Scholarship Number of job offers: 2 Renumeration: 5000 PLN net per month Position starts on: Not earlier than 15th May 2026 Maximum period of contract
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Applicants must hold a relevant master’s degree in telecommunications, computer networks, computer science, or a closely related field, with a strong background in computer networking and distributed systems
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releases, and greenhouse gas flux estimation. Current approaches struggle to assimilate data from heterogeneous sensor networks, are too computationally demanding for real-time deployment, and lack reliable
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
communication networks and the storage capabilities in these clusters do not follow such fast trends. As a result, computing nodes produce outputs faster than what can be stored or sent to process elsewhere