63 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Forschungszentrum Jülich
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to compare supply chains across different scenarios Analyze and visualize the results obtained from the developed scenarios Your Profile: Current master`s studies in engineering, industrial engineering
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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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of liquid electrolytes for sodium-ion batteries (NIBs) as a strategic alternative to lithium-ion technology, supporting the European energy and mobility transition. Your tasks in detail: Identification
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magnetometry data. Your Profile: You are studying computer science, physics, chemistry, materials science, nanoscience or a related subject at a university You have an interest and ideally also knowledge in
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opportunities: https://go.fzj.de/LeadershipCulture In a large research institution like ours, science and administration work hand in hand. Our leadership model ( https://go.fzj.de/leadershipmodel ) provides
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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stabilisation of the Cr4Te5 phase. In addition to phase engineering, the project will examine how stoichiometry, structural quality and defect formation influence the potential ferroelectric functionalities
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protocol and electrolyte variation Evaluation and interpretation of the experimental data Presentation of research results in internal meetings Your Profile: Ongoing master studies in chemistry, material
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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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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with