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, programmable OpenFlow/P4 switches and AI‑Boxes for fast inference, together with NetFPGA/DAG hardware for sub‑millisecond failure detection and a Timeseries‑DB/Grafana monitoring platform for closed‑loop testing
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hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in Computer Science or related quantitative discipline, with ten (10) years of relevant
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual
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programming experience - Strong experience with UNIX/Linux - Familiarity with current hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in
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programming experience - Strong experience with UNIX/Linux - Familiarity with current hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in
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a doctorate in artificial intelligence, medical informatics, and precision oncology? Then join the xMDT-HPB project at the Institute for AI and Informatics in Medicine (AIIM), a pioneering research
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
, biomedical engineering, computer science, physics, or a related discipline. A strong background in fMRI data analysis (e.g., FSL, FreeSurfer, ANTS) and very good programming skills in Python and Bash on Linux
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of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied