58 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at Forschungszentrum Jülich
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establishing the institute`s research infrastructure and laboratory operations Your Profile: Bachelor or Master`s degree in physics, electrical engineering, control systems engineering, mechatronics, or a
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
aims to bridge memristive technology and integrated photonic circuits by developing a novel photonic component. The work contributes to an emerging interdisciplinary research field combining electronics
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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: Fabrication of heterostructures using mechanical stacking. Optimisation of defect engineering in the heterostructures using the plasma focused ion beam technique. Characterisation of defect sites using advanced
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magnetic micro-actuator physics and practical skills for MEMS device engineering. Your Profile: You are studying physics, chemistry, materials science, nanoscience, nanotechnology or a related subject at a
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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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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
reactor design and efficient heat integration Collaboration with the department experimental technology testing for the implementation of processes at laboratory, miniplant, pilot, and demonstration scale
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support and training in classical and quantum modeling, quantum algorithms and computation, and battery materials and technology Further development of your personal and interdisciplinary strengths through
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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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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