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written); German skills are advantageous For further information, please contact: Priv.-Doz. Dr. Max Masthoff, T 0251 83-43018 or Univ.-Prof. Dr. Cornelius Faber, T 0251 83-57608 Apply now via our career
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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theoretical tools for their description (C). Tasks for project RTG2861-A4 (Principal Investigator: Prof. Dr. Stefan Kaskel, Chair of Inorganic Chemistry I, Research area A): Research topic: Microstructured PCL
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theoretical tools for their description (C). Tasks for project RTG2861-A4 (Principal Investigator: Prof. Dr. Stefan Kaskel, Chair of Inorganic Chemistry I, Research area A): Research topicMicrostructured PCL
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theoretical tools for their description (C). Tasks for project RTG2861-A4 (Principal Investigator: Prof. Dr. Stefan Kaskel, Chair of Inorganic Chemistry I, Research area A): Research topic Microstructured PCL
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additive manufacturing of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University
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: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms: 100% of the full-time weekly hours Tasks: The PhD student will be responsible
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microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
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to contact Prof. Dr. Paolo Panza by e-mail (Paolo.Panza[at]uni-giessen.de) Our offer to you Integration into an innovative research project Interdisciplinary collaboration with excellent scientists Opportunity
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Chemical synthesis by Professor Martin Weissenborn at MLU (AG Prof. Weissenborn ) Our Research Training Group BEyond AMphiphilicity – BEAM – combines highly original science and research projects that start