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System analysis, prognosis and control Transport processes Image Processing High Performance Computing Financial Mathematics Materials characterization and testing What you bring to the table You have
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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, such as life sciences, mathematics, physics, computational sciences, and engineering as well as philosophy. For more information, please visit https://www.en.uni-muenchen.de/about_lmu/index.html 70
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December until 31 January. Please check our website regularly: https://www.cih.lmu.de/education/study-programs/phd-program/application Submit application to Information about the online application process
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) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a strong drive and background
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researchers active in the Collaborative Research Center on "Chemical Biology of Epigenetic Modifications". The training programme will particularly strengthen knowledge in all areas associated with
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. Profile: • As a successful candidate (m/f/div) you should have a Master’s degree or Diploma in Chemistry, Materials Science or Chemical Engineering. • Profound knowledge of materials synthesis and their
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in
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partnerships, extending and promoting collaboration with research establishments in science, commerce, and community in and around Göttingen, in Germany, and abroad Course organisation The PhD programme in
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, Classics (Greek and Latin Studies), Computational Linguistics, Egyptology (JMU Würzburg), English Studies, German Literature (1400-1700), German Medieval Studies, History of Science & Scholarship, Indology