57 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" PhD 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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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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. 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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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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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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for doctoral students (HITEC): https://www.hitec-graduate-school.de/home FAIR REMUNERATION: Remuneration is part of the EU funding program ‘Marie Sklodowska-Curie’ and depends on the personal requirements
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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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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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conferences Your Profile: Master`s degree in Chemistry, Physics, Materials Science, or Geosciences Experience in Raman spectroscopy, glass corrosion, and/or radiochemistry Excellent written and spoken English
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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