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considering the potential to apply these methods to different domains. Specifically, you will: Develop, implement and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL
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membranes. You will develop theoretical models and employ computational methods to describe the coupling between ionic nanofluidics, electric double-layer charging, and interfacial reactivity in electrolyte
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Your Job: Join the EU funded SAFELOOP project to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant
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weekends (e.g. between Christmas and New Year) 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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weekends (e.g. between Christmas and New Year) 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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Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities
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Your Job: Develop techniques to simulate and control the dynamics of diamond-based spin systems (e.g., NV centers) Find parameter regimes and control schemes to map few or many-body Hamiltonians
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degradation mechanisms in ORBs. Your tasks include: Develop and implement an LOD EPR setup on a commerical spectrometer Investigate radical-based polymer materials by continuous-wave and pulse EPR Conduct 2D
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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