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Autonomy, and Maritime CleanTech clusters. The center will be a hub, orchestrating the interfaces with research partners and user partners to facilitate collaboration, knowledge creation, dissemination
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probabilistic modelling, latent-variable methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
Autonomy, and Maritime CleanTech clusters. The center will be a hub, orchestrating the interfaces with research partners and user partners to facilitate collaboration, knowledge creation, dissemination
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of cryptographic implementations and hardware-security countermeasures. Experience with hardware reverse engineering, debugging interfaces, or firmware analysis. Experience with machine learning, deep learning
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implementations and hardware-security countermeasures. Experience with hardware reverse engineering, debugging interfaces, or firmware analysis. Experience with machine learning, deep learning, signal processing
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
the interfaces with research partners and user partners to facilitate collaboration, knowledge creation, dissemination, innovation, and sharing of knowledge. The Norwegian Maritime AI Center is funded
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magnetic properties, enabling completely new interface functionalities in future spintronics. The project combines elements from physics (magnetic and topological properties), chemistry/material technology
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the maritime sector, in addition to hundreds of members of the Maritime Forum, Blue Maritime, Ocean Autonomy, and Maritime CleanTech clusters. The center will be a hub, orchestrating the interfaces with research
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in the AIMARIA consortium. The project will provide training at the interface between fundamental research in microbial gene regulation and applied development of microbial production systems
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, non-invasive tools is the goal of the emerging field of vocal biomarkers. In this project you will work at the interface of acoustics and signal processing, with an emphasis on methods