166 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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manufacturing in resource strategies and system models for evaluating long-term transformation paths Your Profile: Excellent master`s degree in engineering, materials science, industrial engineering, energy
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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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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills
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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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: 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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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and
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are mostly used for their heat-energy properties. The MiningBrines project funded by the EU Horizon program aims to develop a strategy to extract CRM and other materials from geothermal brines while
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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are already routinely used. E.g. AI-assisted medical image analysis of CT or MRI images helps to improve the diagnosis and efficiency of medical treatments . Also in material science increasingly AI-based tools