22 postdoctoral-laminate-composite-simulation PhD positions at Technical University of Munich in Germany
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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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(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
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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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frequent exchange between the two positions. Project description Plant pollen and nectar are highly important food resources for bee pollinators. The chemical composition of these resources plays a major
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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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within the vents? You will grow two-dimensional hydrothermal vents on a microfluidic chip and quantify the vent geometry from your data. You will assess how geochemical mineral composition and inflow rate
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a model based on one for the key example locations and identify the best combination of agroforestry systems through land use/land cover (LULC) allocations. Your model will simulate how improved
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elucidate the influence of wood characteristics and environmental and technological treatment on the chemical composition and properties of wood, here with the focus on the wood odour and VOC emission
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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