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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial
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. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial. What we offer: We offer a position with a
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), and is funded by Deutsche Forschungsgemeinschaft (DFG). Our goal is to achieve atomic-precision synthesis and exploration of new planar carbon lattices (PCLs) for next-generation quantum materials
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), and is funded by Deutsche Forschungsgemeinschaft (DFG). Our goal is to achieve atomic-precision synthesis and exploration of new planar carbon lattices (PCLs) for next-generation quantum materials
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-Nürnberg (FAU), and is funded by Deutsche Forschungsgemeinschaft (DFG). Our goal is to achieve atomic-precision synthesis and exploration of new planar carbon lattices (PCLs) for next-generation quantum
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land