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project, continuous-wave and pulse electron paramagnetic spectroscopy (EPR) is employed to investigate charge transfer processes within the composite cathode to find an optimum combination of active
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-economically cost-optimal design of a process chain for the production of green hydrogen and methanol, it is necessary to carefully analyze both global and regional demand and to estimate their future
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phenotyping methods and develop approaches to extract quantitative plant traits from 3-D point clouds Understand the effects of dynamically altered light and precipitation patterns on selected traits
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-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self
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networks using the numerical simulations Calculating the likelihood of material parameters correctly describing experimental results Correlating material parameters with process conditions of sample
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) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
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models, the energy consumption during operation can be simulated from different angles. Based on a toolchain, which automatically generates building Modelica models based on an intuitive language for room
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Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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models, the energy consumption during operation can be simulated from different angles. Based on a toolchain, which automatically generates building Modelica models based on an intuitive language for room
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emissions and energy demand in different sectors, from the SECAPs for the year 2030 WP2 – Improve the existing spatial disaggregation methodology – mainly through collection and processing of new datasets