150 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Forschungszentrum Jülich
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
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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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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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) is considered valuable for integrating perception with control during deployment. Your Profile: Current master studies in physics, computer mathematics, electrical/electronic engineering or a related
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structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de
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efficient information flow between the project coordinator, interdisciplinary teams, and external partners Your Profile: Completed university degree (bachelor) in natural sciences, engineering, business
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visualization in the Lipidomics Informatics for Life Science network in the de.NBI / ELIXIR-DE network Participation in working groups of the HUPO-PSI MS standardization initiative, ELIXIR Metabolomics and
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Your Job: The electrocatalytic interface engineering department, led by Prof. Dr.-Ing. Simon Thiele focuses on the manufacturing, analysis, and simulation of functional materials to find an optimal
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, Computational Engineering Science, Chemical Engineering or a comparable course of study Previous experience with programming in Python Experience in modeling, simulation or machine learning Fluent / good
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experiments. Close collaboration with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient