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(IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project position as Research Associate (m/f/x) Physics- and Quantum-Inspired Computing on the SpiNNaker2
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden-Württemberg | Germany | 2 months ago
with finite element methods, numerical methods, or scientific computing, write clean, well-structured, and maintainable code, be able to work independently and reliably, have good oral and written
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experimental validation system must be assembled and characterized. In the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable
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energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented topics that our researchers are working on. Our research fields are in the following areas
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Programming, data analysis and visualization in Python Numerical modeling and programming for model optimization and machine-learning applications Perform material characterization of various optical glass
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agricultural field experiment. The aim is to establish, for the first time, a robust reference for non-invasive root measurement methods. Your work will focus primarily on the preparation and analysis
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position requires mastering computing tools and the successful candidate will be expected to demonstrate a strong interest and affinity for digitization and to embrace change. Duties and Responsibilities
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position requires mastering computing tools and the successful candidate will be expected to demonstrate a strong interest and affinity for digitization and to embrace change. Duties and Responsibilities
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. Applying (implementation of common ML methods such as hyperparameter optimization, binary/multi-class/multi-label classification, ensemble methods, ... Evaluation/benchmarking based on standardized
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responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing extension of methods in the field of music information retrieval, e.g. for