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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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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) for scientific and large
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Your Job: However, one of the main hurdles related to AEMWE technology is to develop low-cost and robust catalysts that can withstand the harsh reaction environment without compromising
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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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. Following this, you will develop a load profile generator based on the insights gathered from different types of machinery, such as excavators, wheel loaders, telescopic cranes, tractors, and combine
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: Implement a flexible data loading framework capable of incorporating multiple datasets Develop strategy to decode image-to-image as well as image-to-label tasks from hidden representations Train decoders
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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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for your thesis with a forward-looking theme The chance to independently prepare and work on your tasks A large research campus with green spaces, offering the best possible means for networking with
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. In order to understand these phenomena in detail and to develop concepts for increasing the operation lifetime, fundamental physicochemical investigations are necessary. In this project, the behaviour
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Your Job: Join the EU funded SAGELi project to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant