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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
logistics systems. The research will be carried out together with industry and public partners in the Norwegian Maritime AI Centre. As part of a world-leading research community, you will investigate how AI
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environment, combining academic research, industry-based preclinical development, secondments, network-wide training and transferable-skills development. For this position, the recruiting organisation is the
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the industry partner and a separate academic mobility visit. Contribute to research integrity, equality, responsible AI, open science and FAIR data practices. Supervision, training and mobility Project contact
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models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer vision, robotics and radar, such as NeurIPS, CVPR, ICRA
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at the Department of Management and Organisation. Undertake collaboration with the industry partner and a separate academic mobility visit. Contribute to research integrity, equality, responsible AI, open science and
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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manufacturing tolerances, alignment errors, and material variability. To achieve robust designs, existing inverse design methods must be extended to systematically account for these uncertainties. The design
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academic research, industry-based preclinical development, secondments, network-wide training and transferable-skills development. The PhD For this position, the recruiting organisation is the Istituto
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numerical modelling and programming as well as experimental work is a merit Experience from industry is a merit About the employment Fixed term position 48 months, in accordance with Chapter 5, Section 7
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relationship with the economic and industrial sectors. The Mechanical Engineering Department (DMEC) provides a full education in the field of advanced manufacturing processes and smart manufacturing systems