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-design of neuromorphic circuits and systems with novel algorithms in different fields of applications e.g. solving hard optimization problems, associative computing, or computing with dynamical systems. As
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Your Job: There are multiple openings for new PhD students interested in the co-design of neuromorphic circuits and systems with novel algorithms in different fields of applications e.g. solving
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-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant designs in terms of their techno-economic characteristics an optimization model is to be
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of existing data mining and machine learning models Design and implementation of machine learning algorithm for extracting information from experiment data Evaluation and development of specialized and/or
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Your Job: Socio- and technoeconomic analyses in the context of Circular Economy and Sustainable Bioeconomy Design and conduction of empirical or data-analytical research approaches Analysis
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, BEM, MoM & 3D modelling) and in designing an RF receive array Proven record of product design or prototype development is highly desirable Knowledge of MR physics, CE certification and manufacturing
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of Circular Economy and Sustainable Bioeconomy Design and conduction of empirical or data-analytical research approaches Analysis of market dynamics in the bioeconomy Present research findings at national and
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, and interfacial reactivity under nanoconfinement is essential for the optimal design of next-generation ECL materials. As a PhD candidate at Theory and Computation of Energy Materials, you will be part
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to the nanometer scale. The investigated materials and systems play an essential role in sustainable technologies like water- and CO2-electrolyzers, as well as in fuel cells. Your tasks in detail: Design and set
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and super resolution Collaborating on the development of domain adaptation methods for transferring learned representations to different experimental setups Designing and implementing active learning