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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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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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design workflows for training, running, and evaluating a downstream application of HClimRep that will deliver high-quality ecohydrological forecasts for drought, flood, and ecosystem analysis. Specifically
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, software developers and domain scientists on, e.g., Development and adaption of existing data mining and machine learning models Design and implementation of machine learning algorithm for extracting
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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
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
VCM cells has to be developed. Based on the models, design rules for the usage of memristive components shall be concluded. Various commercial simulation tools and self developmed environments
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between electrokinetic transport, surface charging, and interfacial reactivity under nanoconfinement is essential for the optimal design of next-generation ECL materials. As a PhD candidate at Theory and
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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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the complexity-and-performance tradeoff in different neuron models, dendritic compartments, etc.) in task-specific hardware designs, for both training and inference for identifying complex sequential patterns