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simulation programs to model ultrafast non-equilibrium spin currents and high-frequency spin dynamics in antiferromagnetic and topological spintronic materials, as well as to simulate THz emission from
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using innovative artificial intelligence (AI) techniques. The consortium uses machine learning to accelerate computer simulations of proteins, thus enabling the direct investigation of protein dynamics
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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of Avestan (at least of the Avestan alphabet) • good computer skills • Knowledge of Middle and New Persian is very welcome • Knowledge of transliteration • precise and reliable work and ability to work in a
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simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together with significant
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• numerical simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together