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-SEK, 12-year Wallenberg Centre for Quantum Technology (WACQT), aiming to build a superconducting quantum computer. As part of this project, you will explore quantum computation with microwave circuits
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Are you eager to conduct cutting-edge research at the intersection of electronics and artificial intelligence (AI)? We invite highly motivated candidates to apply for this PhD position
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
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. Incomplete applications and applications sent by email will not be considered. Application deadline: 25 June, 2025. We will evaluate all candidates after the deadline. Security concerns may then be considered
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applications sent by email will not be considered. Application deadline: 11 June, 2025 For questions, please contact: Håkan Nilsson, hakan.nilsson@chalmers.se , +46 31-7721414 *** Chalmers declines to consider
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the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 9th
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to explore its applications in energy, quantum technology, and healthcare? Join our team at the Division of Nano- and Biophysics , where we develop advanced electron microscopy techniques to study materials
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theory (DFT) and related computational methods. Your work will contribute to predicting and deepening our understanding of electronic, structural, and magnetic properties at solid-state surfaces and