12 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions at Free University of Berlin
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macromolecular dynamics with machine learning, statistical mechanics, molecular simulations, and experimental data. The joint project “FAIME – Flexible and Efficient AI-driven Molecular Simulation Engine” is part
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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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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collaborators at the Fritz-Haber-Institute (MPG) you will help to explore the microscopic processes behind electron, lattice, and spin interactions in magnetic van-der-Waals materials. During this, you will learn
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, teaching within the Bachelor and Master Program of the department. The position offers the opportunity to acquire your own third-party funded projects and to obtain a postdoctoral qualification (Habilitation
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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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scientific work processes Desirable: - good communication skills - knowledge of the Geographies of Global Inequalities degree program or willingness to acquire them - English language skills (C1
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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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comprehensive basic knowledge of cultural studies and the ability to teach this in English. - Support in managing the course via digital platforms (Blackboard or Moodle); - Support in course preparation: research
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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