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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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on experimentally realisable spin systems Cooperate and actively work with our experimental partners toward quantum simulation and quantum computing implementations using this technological platform Design and
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of qubits into the millions, it is crucial to move parts of the control electronics closer to the qubits. To achieve this, we design and implement cryogenic integrated circuits for qubit control and readout
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join an ambitious European initiative aimed at revolutionizing the design and integration of energy materials for clean hydrogen energy technologies. This initiative is a collaborative effort to harness
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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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the complete chain from materials properties to process design and evaluation. More information on the project can be found here: This specific project (DC7) addresses membrane adsorbers, which have small
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well as in fuel cells. Your tasks in detail: Design and set-up of new testing equipment for application-driven characterization of new materials for water electrolysis Manufacturing of catalyst layers and