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Field
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at cryogenic conditions: Many advanced technologies — like quantum computers, powerful microscopes, and chip-making tools — require extreme cooling. However, the optimal design of cooling systems at cryogenic
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-generation permanent magnets using a powerful combination of high-throughput computation, machine learning, rapid synthesis and efficient characterization. This position requires expertise in synthesizing and
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quantum systems. However, the performance of these laser systems is still far from what is possible using tabletop free-space or fiber laser systems. During the ERC StG LASIQ we will research novel photonic
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in Computational Electromagnetics will be responsible for developing theoretical models and high-performance computer codes for modelling the interaction between electromagnetic waves and dielectric
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, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
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; Theoretical Computer Science; Quantum Computing. The appointees will be expected to contribute to undergraduate and postgraduate teaching, supervise graduate students, conduct high-quality research, and
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be mainly performed in the laboratories of FBK; · development and optimization of new characterization setups. Where to apply Website https://phd.fbk.eu/calls/detail/development-of-3d-integrated-trench
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Sciences promotes interdisciplinary computational sciences through the development of high-performance computing systems and network technologies, as well as research utilizing these technologies for large
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put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim
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28 Aug 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job Status Not Applicable Hours Per Week See description Is the job funded through the EU Research Framework Programme? Not funded by