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to educational events, such as hackathons, data challenges and courses Your Profile: Completed university studies (masters degree) and a doctoral degree in computer science, applied mathematics, computational
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sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling skills Experience in scientific computation Ability to work independently as well as collaboratively in
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renowned venues Solid mathematical background, distinct analytical and numerical skills Solid programming skills (e.g. Python, C++) Excellent ability to cooperate with other sciences and to work as part of a
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of curricula in the fields of physics and chemistry Networking with other initiatives in physics, chemistry, mathematics and materials science Develop scientific software for the data analysis inside the DAPHNE
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Networking with other initiatives in physics, chemistry, mathematics and materials science Develop scientific software for the data analysis inside the DAPHNE Program Conduct and disseminate world-class
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, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and algorithms, preferably in the domain of QC, such as
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publications and conferences Your Profile: Completed Master‘s degree in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Computational Science, preferably followed by a PhD or equivalent
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publishing results in scientific publications and conferences Your Profile: Completed Master‘s degree in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Computational Science, preferably
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24 Feb 2024 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 23 Mar 2024 - 23:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded...
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and problems in the context of ML & AI. Your Profile: Completed university degree (master`s degree or equivalent) and, if applicable, doctorate in data science, computer science, mathematics