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documentation Processing research projects Conception of digital systems and services Development of AI-supported solution approaches Publishing your research results at national and international conferences
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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research
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. Application procedure Your complete online application must be submitted no later than 31 August 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given
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theoretical point of view, it is known that martensitic phases in hardened steel, as used in bearings, tend to degrade before the formation of microcracks, marking the onset of (rolling contact) fatigue damage
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, and combining the resulting digital stream in a smart way. The circuit design in the transmitter and receiver areas will be complemented by researchers in signal processing to investigate these topics
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the opportunity you’ve been seeking. Join us to tackle some of the most intriguing and impactful challenges in the domain of wind energy, digitalization, and autonomous decision-making. We are looking for a
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researchers working together to develop better understanding of decision-making processes in the provision of active travel infrastructure. The project will address research questions such as, why are some
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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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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that align with current researchers at IAS. Furthermore, applicants should indicate interest in one or more of the following four research groups: The Segregation Group examines how people become unevenly