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example of such alternative approaches are quantum computers. These promise to tackle numerical problems such as monte carlo sampling or large-scale optimization, which are NP-hard for conventional CPU
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Python for optimization and machine-learning applications. Be part of change Support the team in improving the accuracy of the FEM simulation model Post-process simulation results in Python
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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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protein sources Process optimization on a laboratory scale and scale-up to pilot scale Application and optimization of processes like dry and wet fractionation, cell disruption, and drying Development of
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protein sources Process optimization on a laboratory scale and scale-up to pilot scale Application and optimization of processes like dry and wet fractionation, cell disruption, and drying Development of
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Tübingen, Baden-Württemberg | Germany | about 2 months ago
testing, evaluation, and optimization of implemented computer vision methods. Provide basic user support for researchers using the NICE Toolbox and assist in maintaining and improving user documentation
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 8 days ago
establishment of new experimental protocols and the optimization of novel technologies Supporting large-scale CRISPR screens, including CRISPR/Cas9 genome editing, viral transduction, AAV-based gene
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- Fraunhofer ITWM »Optimization« »Processes and materials« »Mathematics for Vehicles, Systems, and Processes« »Analytics and computing« What you contribute You are a registered student in a natural
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twins for highly complex semiconductor manufacturing processes - enabling process optimization and model-based control. As the industry moves towards more individualized processes and products, a