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). Expertise in the following areas is considered beneficial: scripting (Python, bash, etc.), high-performance programming (Fortran/C/C++, CUDA, etc.), ML libraries (sklearn, Pytorch, etc.). In your CV or
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translation medicine Experience in computational analysis of biological data Experience with single-cell, transcriptomics, spatial biology, or other omics data analysis approaches Programming skills in
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experience is considered an advantage: Antimicrobial resistance research Metagenomics, microbial genomics, or bioinformatics Statistical programming in R or Python High-performance computing environments
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design, clean-room techniques, simulations, data analysis, and instrument programming. Our group is doing research on circuits consisting of superconducting qubits and resonators - presently one of the
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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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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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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