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physical understanding of the interaction between laminar-turbulent transition and surface modifications such as the Delft Laminar Hump.The fundamental and technical outcomes of this work will position Hump
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your chance to make a significant impact in areas such as: Physical layer optimization Signal processing and software-defined radio prototyping Machine learning for wireless sensing What We're Looking
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agents in the multi-agent system and analyzing the performance guarantees. Implementing the proposed theoretical approaches to applications that involve teams of humans and autonomous agents (e.g., social
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of efficient receiver for DM signals, theoretical bounds of DM waveform performance in sensing, and on time-varying arrays. Your main responsibilities will be to: Formulate mathematical model for sensing
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for doing experimental research. Interest in theoretical modelling of your experiment. In addition, we appreciate experience in general experimental physics, optics and laser, nanomechanics and electronics
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segregation by providing a theoretically grounded and empirically calibrated agent based model on which to test policy scenarios. Second, you will participate in on-going methodological research on spatially
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solutions for 6G systems. You'll have the chance to work across disciplines on the latest challenges of wireless communication and sensing systems. Whether you have a theoretical background (optimization
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solutions for 6G systems. You'll have the chance to work across disciplines on the latest challenges of wireless communication and sensing systems. Whether you have a theoretical background (optimization
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. Good theoretic understanding of the fundamentals of Machine Learning. Ability to act independently as well as to collaborate effectively with members of a larger interdisciplinary team, take initiative
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? Then we are excited to get in touch with you. We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision-making