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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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Continuous mentoring from your scientific supervisor 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year) Opportunity to develop your
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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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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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sports alongside work 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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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