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                Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation 
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                development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and 
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                Wattenhofer and Dr. Antonio Di Maio. You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in 
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                candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic 
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                collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance 
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                utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood 
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                of Competence in Research (NCCR) “SPIN: Spin Qubits in Silicon" supported by the Swiss National Science Foundation. The NCCR SPIN is developing fundamental elements of scalable quantum computing with spins qubits 
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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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                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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                collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance