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of Basel is the home institution of the Swiss National Center of Competence in Research (NCCR) “SPIN: Spin Qubits in Silicon” supported by the Swiss National Science Foundation. The NCCR SPIN is developing
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" supported by the Swiss National Science Foundation. The NCCR SPIN is developing fundamental elements of scalable quantum computing with spins qubits in silicon and germanium. More details are available from
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language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance, financial networks, e-democracy, voting, social
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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. All data is acquired and processed using SeisComP. Project background We are seeking a talented scientist with strong interest in network seismology and software development to enhance our seismological
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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-driven methods to include prior information about the underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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programme Reference Number 5504-00 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks Develop advanced constitutive models for chemo-mechanical coupling in
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial