22 computational-physics "https:" "https:" "https:" "https:" uni jobs at Forschungszentrum Jülich
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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
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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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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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
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frequently investigated regarding their suitability for such a process. One disadvantage of these technologies is the high energy requirement during the temperature and pressure swings. Electrochemical
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of the influence of the electrolyte on the overall cell performance under varying conditions Documenting and visualizing the achieved results in presentations Your Profile: You are enrolled in a master`s programme
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ongoing Master studies in the field of Data Science or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics Strong mathematical background Interest in energy systems, power
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with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement learning, physics-informed neural