51 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Forschungszentrum Jülich
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efficient information flow between the project coordinator, interdisciplinary teams, and external partners Your Profile: Completed university degree (bachelor) in natural sciences, engineering, business
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, Computational Engineering Science, Chemical Engineering or a comparable course of study Previous experience with programming in Python Experience in modeling, simulation or machine learning Fluent / good
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fossil fuel based ones. Applying a Choice of Technology Model to a database of processes used to produce various chemical products in different world regions the objective estimate impact of changes in
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processes based on CO2 and other carbon-rich waste streams enable net-zero CO2-conversions into valuable chemicals. This project aims to design, integrate and optimize metabolic pathways in an engineered C
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) Intense interaction with consortium Your Profile: Master and PhD degree in materials science, physics, chemistry, informatics, machine learning, energy technology or related subjects Prior experience in
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, intermediate products, and finished products based on, for example, historical trade data ( https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37 ) Analysis of historical developments in material
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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Characterization of the electrical properties of the new solar module concepts Simulation of electrical and optical properties of solar modules Your Profile: Bachelor’s degree in electrical engineering, mechanical
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computational resources, located on a green campus, and near the cultural centers Köln, Düsseldorf, and Aachen. The Jülich campus also hosts a vibrant biophysics, bioinformatics and structural biology community
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials