158 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Forschungszentrum Jülich
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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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publications and project reports Supervision of Bachelor and Master students Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or
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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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. 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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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written 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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(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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: 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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date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Coursework in
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional