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Field
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, cargo, harbors etc. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop a
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to test and demonstrate the developed concepts and algorithms for integrated (re)planning. This PhD research will use a mixture of techniques from logistics, operations research, multiple-criteria decision
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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oriented towards the development of a domain-specific design automation framework for cryptographic hardware. Your work will focus on identifying the mathematical knowledge and properties to guide hardware
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sensitivity analysis, impact of the individual process parameters on the target properties and develop predictive machine learning model; iii) based on the machine learning algorithms, develop PBF-LB Mg alloy
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millions of US Dollars. Ensuring that contracts cannot be exploited is critical. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity
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Stig Brøndbo 18th January 2026 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping