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Computer Science, Mathematics, Physics or a related field Knowledge in Neuromorphic Computing or Computational Neuroscience is a plus Experience in mathematical modelling Excellent programming skills and experience
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
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scientific questions related to AI or HPC and publish the results in journals or at top-tier conferences Your Profile: You have a completed Master’s degree in a relevant discipline such as computer science
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models of structural disorder based on the periodic average structure, crystal chemistry, and complementary information Generation of a dataset to train ML models Simulation of the corresponding
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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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scientific advisors and opportunity to mentor students Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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international conferences Prepare scientific publications and project reports Your Profile: Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences
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an international, interdisciplinary research team Familiarity with Bayesian thinking is desirable No prior biological experience is required; curiosity for life science questions and willingness to collaborate with
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for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service makes it easier for international employees to get started FAIR REMUNERATION