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Engineering or Chemistry, Physics or Informatics Experience with experimental work and characterization techniques Demonstrated experience in programming, particularly in Python, with a robust understanding of
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proposals Support in establishing the institute Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or related disciplines Fundamental knowledge in
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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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research data management activities, semantic and infrastructural engineering in the field of Material Science, e.g. within NFDI-MatWerk Dissemination of developed tools and concepts within interest groups
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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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Raman spectroscopy Close collaboration with internal and external cooperation partners Detailed evaluation and processing of measurement data Your Profile: Ongoing master studies in physics, chemistry
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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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the conversion of the greenhouse gas CO2 into industrially relevant basic chemicals. Copper-based catalysts have been demonstrated to show high activity in CO2RR and alloying or incorporating other elements
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electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on
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Geißelbrecht, our department researches and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. In particular, issues in the field of the LOHC technology are