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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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bioinformatic methods to uncover the key factors behind cancer evolution from next generation sequencing data. In this project, you will work on how the genetics of cancer influence its detection by the immune
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, display, and secrete carbonic anhydrases — enzymes that play a key role in biomineralization. Your work will include microbiology experiments, genetic engineering, protein purification, and biochemical
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer