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Your Job: Characterization of the dynamical and structural properties of energy materials using neutron spectroscopy supported by complementary experimental techniques or theoretical simulations
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of reduction phenomena using electrical measurements and optical microscopy Preparation of sample cross-sections by sawing and polishing Analysing the structure and composition using electron microscopy and
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
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: Characterization of the dynamical and structural properties of energy materials using neutron spectroscopy supported by complementary experimental techniques or theoretical simulations Synthesis and physicochemical
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
the theoretical and computational infrastructure to employ quantum optimal control methods, where simulated spin models are directly used to engineer NMR experiments. At the core of this project stands the Python
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Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and related disciplines Very good grades in the masters and bachelors degrees are mandatory Knowledge
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and the ability to work in a cooperative manner Ability to show initiative and work independently in a structured, organized way Fluent command of written and spoken English Our Offer: We work on the
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to scientific computing Recent experience and strong interest in programming and analysis Experience and interest in functional-structural plant modelling Strong programming and modern software engineering skills
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, conferences, and as scientific papers Contribute to educational events, such as hackathons, data challenges and courses Your Profile: Excellent Master`s degree in computer science, science, engineering or in a
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for the construction of these technologies. The consideration of these requirements as part of the energy system analysis is still constrained by a number of data and methodological challenges. The aim of this master