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exactly solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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University of Luxembourg Location Esch-sur-Alzette, Luxembourg Salary Negotiable Closing date 17 Oct 2026 View more categories View less categories Discipline Computing , Engineering Job Type PhD Position
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How
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and develop novel methods to improve their temporal representation learning and downstream regression performance. The goal is to design more flexible temporal modeling strategies and improved
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installations (laser fs or ns, XFEL, synchrotrons, high pulse power), and developing numerical simulations and analysis tools. In order to develop new models into ESTHER, the candidate will be interacting with
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the induction. Our Benefits for You Cutting-edge research : You will work on challenges at the intersection of IC design and quantum computing, helping to shape the next generation of quantum
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and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and
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relates to mesoscopic cortical dynamics, including oscillations and spatiotemporal activity patterns. By developing and applying advanced causal discovery methods for complex time-series data, you will
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emerging applications requires low–temperature operation of CMOS transistors, such as spatial applications, high performance computing, high energy physics…, with a temperature of operation below 100K