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of the central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding. The goal is to develop new
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computational approaches in cancer biology and functional genomics. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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emerging non-terrestrial networks, including satellites, high-altitude platform stations, and unmanned aerial vehicles. Profile 2: Reliable and learning-enabled radio localization and sensing. This profile
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strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position is part of the national research programme DDLS. Data-driven life
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matters such as working conditions, equality, and diversity, as well as study and work environment. Subject description Pervasive and mobile computing address distributed systems and mobile networks which
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be met no later than the time the employment decision is made. Applicants should hold a PhD in Electrical Engineering, Computer Science, or a closely related field. Good collaboration skills who can
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Electrification and digitalisation are among the major areas for the future
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exploring during your PhD. Your workplace You will be employed in the research group led by Associate Professor Wen Zhong , fellow in the Swedish national program for Data-Driven Life Science (DDLS