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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication
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measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
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-selectivity. Calculations and simulations will guide fabrication of experimental prototypes, to be tested in beamtime experiments at world-leading neutron science facilities (e.g. ILL, FRM II). Experimental
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment
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background, interests and motivation) • Curriculum Vitae (CV) in English • PDF copies of earned university degrees and transcripts of individual grades • PDF copy of your Master’s thesis or a seminar paper The
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university degrees and transcripts of individual grades • PDF copy of your Master’s thesis or a seminar paper The position is suitable for disabled persons. Disabled applicants will be given preference in case
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supervision by AI and metabolomics experts at lifespin, as well as by participating professors from the TUM and HSWT. KEY RESPONSIBILITIES Simulating synthetic NMR spectra based on biophysical principles and
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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
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: • Development, application and validation of innovative methods for condition monitoring and prediction of failures in aircraft and helicopter components. • Processing and analyzing large data sets. • Simulation