45 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" scholarships at Forschungszentrum Jülich
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Your Job: As a doctoral researcher in the group of Dr. Susanne Kunkel at the institute Neuromorphic Software Ecosystems (PGI-15), you will contribute to the advancement of simulation technology for
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work Your Profile: Completed university degree (Master`s) in a subject with a strong focus on chemical engineering, e.g. process engineering, mechanical engineering, technical chemistry, relevant
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for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates: https://www.fz-juelich.de/en/judocs In addition to exciting tasks and a
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient optimisation. The following topics
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interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state-of-the-art machine learning and
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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge