21 Education "https:" "https:" "https:" positions at Forschungszentrum Jülich in Germany
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of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim or http://github.com
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation
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. Your task in detail: Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data Develop a classification algorithm (e.g., based on Gaussian
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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scientific hypotheses numerically further develop the theoretical framework of the project extend and develop methods to apply functional connectivity methods and causal frameworks to neuronal spiking data and
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contribute to groundbreaking interdisciplinary projects. Your Job In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications
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. Your Job Analyze the intrinsic many-body dynamics of noisy and monitored quantum circuits, mapping them onto statistical-mechanics models Develop analytical approaches (e.g. replica methods and exactly
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measurements and additional data. Specifically, the project’s objective is to develop a data-driven method that maps satellite-derived data to ground-level concentrations for air pollutants such as NO2 (nitrogen
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focuses on scenario development, as well as the modelling, simulation and analysis of coupled power and gas grids in Europe. The research project aims to develop advanced, cross-sectoral simulation
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measurements and additional data. Specifically, the project’s objective is to develop a data-driven method that maps satellite-derived data to ground-level concentrations for air pollutants such as NO2 (nitrogen