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AI models for network operations. This project is a joint effort between the University of Twente and TU Delft. You will be co-supervised by Associate Prof. Pedro P. Vergara from TU Delft and
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networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
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ID: PMP_TRR408_C5 Investigators: Prof. Dr. Allister Loder, TUM Professorship of Mobility Policy, and co-supervised by at least one leading international researcher Requirements
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experience with imaging techniques or animal models is advantageous High scientific motivation and the ability to work independently and in a multidisciplinary team Good command of English (written and spoken
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. Further information Further information may be obtained from Asst. Prof Charalampos Orfanidis or Prof. Xenofon Fafoutis . You can read more here about working in our section, at DTU and in Denmark. If you
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, reporting and presentation skills; strong command of written and spoken English. Candidates with the following skills are especially encouraged to apply: experience in analysing high-dimensional OMICs data
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-fast, low-energy optical interconnects in collaboration with Microsoft and two Finnish SMEs. The project focuses on development new optomechanical control methods for macroscopic quantum states of light
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development of high strength aluminium alloys designed to provide better performance compared with existing alloys. The properties of this alloy depend on careful control of the microstructure, in particular
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systems such as fuel cells and batteries. Intelligent control and management systems will be designed to enhance efficiency, sustainability, and seamless integration. Developed models and strategies will be
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modelling. Application of the produced soft sensor to investigate the feasibility of process control. The project will be supervised by Prof. Jürgen Hubbuch and Dr.-Ing. Iris Perner-Nochta. The successful