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- 3.4 years Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically
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now and become part of this innovative research team! Your task is to develop innovative processes for releasing hydrogen from LOHC molecules. In addition to conventional dehydrogenation, you will
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of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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for Energy Materials” in cooperation with partners from academia and industry from several European countries. Your tasks in detail: Conduct cutting-edge research to develop and validate advanced AI
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hydrogen energy sector. Your Job: Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and
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implementation of the new HClimRep foundation model, Assist the HClimRep team with testing and improving the HClimRep model, Develop a concept of software package of hydrological downscaling based on the HClimRep
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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 and networking
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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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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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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