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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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: Develop, implement and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers
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education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services
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Ministry of Education and Research You will have the opportunity to participate in project meetings and conferences and present your results (online and face-to-face events) You will also be able to develop
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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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in Europe You will participate in a consortium of universities and other national and international research institutions funded by the German Federal Ministry of Education and Research You will have
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of a new German–Canadian research collaboration elucidating how to selectively control electrochemical transport and reaction phenomena in catalysed nanoporous membranes. You will develop theoretical
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to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant, sustainable and smart lithium-ion batteries. Your tasks in
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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