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to the characterization of the assembled batteries Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking
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of research will include among others: Modelling and analysis of power grids Develop/Extent a realistic German transmissions system grid model Develop GPU-executable, data-lean grid simulation (load flow) to be
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/ tasks will include among others: Develop innovative parallelization algorithms for DAE and ODE systems Explore the use of heterogenous architectures for best runtime performance Representation in national
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the Terrestrial System Modelling platform ( https://www.terrsysmp.org/ ) Develop downscaling approaches to represent transfer from ground to surface water considering ditches, small creeks, and small-scale
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Your Job: Should have an interest in working with existing data and shall have the ability to develop and implement concepts for novel and FAIR data structures based on existing field phenotyping
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development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via
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for networking with colleagues and pursuing sports alongside work Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
Your Job: The aim of this doctoral project is to develop physical simulation models for memristive devices. In particular, a compact model that describes the switching behavior of gradual switching
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automation experts to develop and use a reliable, fast, electrochemical testing process Your Profile: Excellent master degree in process, electrical, chemical, or mechanical engineering or a related discipline
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to develop your own independent scientific program within the topic Working at the interface of applied and fundamental science towards beneficiating spent nuclear fuel disposal and the nuclear fuel cycle