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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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explants, in vivo models and patient samples of type 2 immune disease will be critical to map and characterize key events that lead to different qualities of type 2 immunity and experimentally validate
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: Faculty of Medicine, LMU Munich, in cooperation with Hector Fellow Academy Funding: Four years (3+1 model – three years with the possibility to extend for one year) Starting Date: To be determined
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) incl. granting of a special annual payment vacation entitlement of 30 days in the calendar year and additional days off on 24 / 31 December family-friendly, flexible working time model VBL - pension
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agreement (as per TV-L) incl. granting of a special annual payment vacation entitlement of 30 days in the calendar year and additional days off on 24 / 31 December family-friendly, flexible working time model
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methods to tackle challenges in scientific modeling. Affiliations: Technical University of Munich (TUM) & Helmholtz Munich Niki Kilbertus invites applications for a fully funded PhD position. We’re looking
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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synthesis over all relevant length scales (e.g. cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) • High resolution analysis, monitoring of chemistry
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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be