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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Real-time stream data analysis within the general study
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, or computational modelling, and you should be comfortable working with large datasets and modern deep learning frameworks. Experience with neural network design, optimisation techniques, or scalable computing is an
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applications. You will participate in international secondments to other organisations in the network and in outreach activities with audiences beyond the research community. Prerequisite for applicants
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, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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computational approaches for analysing life-courses, networks and relationships between historical actors using Knowledge Graphs. 4. Knowledge Graph Exploration and Analysis Tools: Creating methods and platforms
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, fatigue, corrosion, and biofouling ) of subsea structures. Derive limit state functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and
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theoretical knowledge, the ideal candidate should have experience with experimental work within material characterization and on compilation of large datasets and statistical analysis of these. In addition
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methods and theories. You can work independently while contributing actively to a collaborative and inclusive research environment. Experience working with quantitative data, statistical analysis, or survey
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and