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, cryogenics, microwave electronics, circuit design, clean-room techniques, simulations, data analysis, and instrument programming. Our group is doing research on circuits consisting of superconducting
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conduct research on the topic. Have programming skills (e.g., Python) and experience with numerical simulations or quantum software frameworks (e.g., Qiskit and PennyLane). Have a demonstrated ability to
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advantage. Good data-analysis and programming skills (e.g., Python, MATLAB, or similar). A hands-on approach to experiments, patience in troubleshooting, good communication skills, and the ability to
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numerical skills especially in Matlab, Mathematica, Python or similar programming languages. Previous research experience with toolkits for quantum computing such as Qiskit, QuTiP, PennyLane, Quil, etc
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before the application deadline. Have a solid background in quantum computing and quantum algorithms, sufficient to conduct research on the topic. Have programming skills (e.g., Python) and
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learning and generative models. Programming skills suitable for modern machine learning research, preferably including Python and deep learning frameworks. Interest in one or more of the following areas
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generative models. Programming skills suitable for modern machine learning research, preferably including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis
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The following experience is considered an advantage: Antimicrobial resistance research Metagenomics, microbial genomics, or bioinformatics Statistical programming in R or Python High-performance
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, Python or similar programming languages. Previous research experience with toolkits for quantum computing such as Qiskit, QuTiP, PennyLane, Quil, etc. Familiarity with the firmware of various control
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of mesoscopic physics, nanoelectronics, cryogenics, microwave electronics, circuit design, clean-room techniques, simulations, data analysis, and instrument programming. Our group is doing research