21 high-performance-quantum-computing-"https:"-"https:"-"https:"-"ICTS-TIFR" PhD positions in Luxembourg
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The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices on quantum computing Define software quality principles for quantum computing
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-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they currently lack reliable uncertainty estimates, limiting error
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The SIGCOM research group, headed by Prof. Symeon CHATZINOTAS, carries out research activities in the telecommunication and networking systems, including NTNs and quantum communication
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high-risk/high-gain research without any teaching obligations. The position is funded through the support of Google.org (more details here ). Our group performs fundamental and applied research in many
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these pNTA results. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model
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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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datasets Collaborating closely with data providers, clinicians, and technical teams to ensure high-quality data integration, validation, and analysis workflows Supporting documentation, reproducibility, and
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to perform the following tasks: Carry out the aforementioned research with national and international collaborators, e.g., INRIA Rennes, University of Zaragoza, TU Munich or University College London
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peptides Perform and support experimental studies across the METAMIC project, including notably metagenomic sequencing of field study samples (from clinical or environmental use cases) Application