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. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
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the research of the group on its website. Project background The candidate for the Post-doctoral researcher position is expected to develop their own research project in the area of digital
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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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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software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation and data structures, with demonstrated accomplishments in the context
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, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical university and in developing research and
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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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applications, demonstrated through contributions to open source projects and production software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation
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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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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