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Field
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production through fusion Quantum Physics and Information Technology aiming to develop and utilize quantum technology Surface Physics and Catalysis with a particular focus on catalyst computation
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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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courses in engineering, physics or chemistry. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with Computational Fluid Dynamics (CFD) is a must, and knowledge
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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2D materials, searching for exotic quantum functionalities to form new sustainable electronics and new types of computing. Tuning nanostructures of these materials with extreme pressure will unlock
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Employment 1.0 FTE Gross monthly salary € 2,901 - € 3,707 Required background Research University Degree Organizational unit Faculty of Science Application deadline 30 August 2025 Apply now Would
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memories) addressing the challenges of scalability, stability and integration of quantum computing. You will have access to our world-class facilities at the Electronics and Nanoscale Engineering Division
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Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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manipulating nanoparticles’ dynamics in engineered potentials. Motivated by both, exploring the limits of quantum mechanics, and exceptional sensitivity to inertial and force sensing, Levitodynamics is striving