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initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. We look for candidates who enjoy collaborating in interdisciplinary teams and are good at communicating science in
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for the position are: It is meritorius if you have solid experience with the following computer programs: CryoSPARC, Phenix, Coot, Chimera and Pymol, It is meritorius if you have experience working with eukaryotic
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of the Wallenberg Centre 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
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estimates remain highly uncertain because existing approaches often neglect critical lake-specific dynamics and feedback mechanisms that are essential for accurately predicting ecological responses and
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of TWPAs, while the other will specialize in their characterization. About the research project The Wallenberg Center for Quantum Technology is a 12-year project aimed at building a quantum computer based on