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The Fraunhofer IEE in Kassel conducts research in the fields of energy economics and energy system technology, focusing on: energy informatics, energy meteorology and geoinformation systems, energy
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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under both field and laboratory conditions, and a soil-plant model was developed. The experimental data gathered from these studies is now available to calibrate and test the model. Your tasks in detail
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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for transplantation, isolation of cells, treatment with small molecule inhibitors Computational analyses of scSeq data with support of experienced computational researchers Literature research and manuscript writing
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the variation of materials. Corresponding models are developed with which the mechanical stresses of the interconnection are determined in order to identify optimizations in the process control and material
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communication environments. For the advertised PhD researcher position, this work involves written and multi-modal corpora development and analysis, and working with computational models of irony and analysis
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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learning for decentralized AI model training for tool wear detection and measurement in milling processes within the »FL4AI« project. A custom dataset has been acquired, consisting of microscopic tool wear
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the project »MoGeSa« and develop a detailed Modelica-based simulation model of a floating wind platform for a 15 MW offshore wind turbine. As part of this, you will perform a large number of simulations using