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Field
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motivated post-doctoral associate with a strong background in control systems and machine learning to join the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins
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to research within circular economy, business models and digital services. The work is carried out in close collaboration with several ongoing research projects, including Circul8, SmartCharg, SmartCircle
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Full Time: 35 hours per week Fixed Term: 1st January 2026 – 30th June 2029 (42 months) We are looking for a Postdoctoral Research Associate in Digital Cultural Heritage Data Ethics & Software
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 17 days ago
5 Dec 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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to research within circular economy, business models and digital services. The work is carried out in close collaboration with several ongoing research projects, including Circul8, SmartCharg, SmartCircle
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, readings, summer parties) Close to public transport Digital communication and work processes within your team Supplementary pension scheme of the Versorgungsanstalt des Bundes und der Länder (VBL) Annual
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. The successful candidate will investigate privacy risks in online digital spaces, focusing on communities that connect people across countries and those tied to specific physical locations, such as city-based
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required documents in digital form via the website provided below. If any recommendation letters are required, the applicant is responsible to ensure that they are properly delivered. The website allows
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The Department of Media and Journalism Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position in digital methods and the creator
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process