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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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in TCD. The position will be under the direction of Prof. Marco Ruffini Application Procedure Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees
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part in the institutional research area of priority The Digital Society and the new institutional PhD programme, Digitalisation and Society. Perhaps you are the one we are looking for? The PhD candidate
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employment. Please indicate your request in your application. Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Planning, Henley Business School Supervisors: Dr Emma Street and Prof Gavin Parker Project Overview: Using a governance lens and participatory methods, this project involves local stakeholders and
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processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G
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of the steel processing and to act as virtual tool for the selection of new steel compositions and of optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw