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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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of opportunity), and integrating these definitions into model optimization and evaluation processes (hereby acknowledging the complications of algorithmic notions of fairness); (iv) AI alignment : developing AI
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-cell data) using existing pipelines Demonstrated ability to enhance, optimize, and extend existing computational pipelines, as well as design and implement new workflows Experience working with large and
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100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
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densification, (iv) changes in glacier surface albedo. Particular objectives include the development of frameworks to infer optimal physical parameters and downscaling of meteorology through assimilation
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the realization of 1:1 full-scale prototypes Assist in robotic fabrication and digital production workflows Contribute to material testing, system optimization, and physical prototyping Support
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interest in optimization What we value Research mindset and intellectual curiosity Ability to work independently Clear communication of ideas and results Workplace Workplace We offer Your job with impact
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the optimized intervention that resulted from the digital-twin experiments indeed also improved human learning. The group now aims to examine how large language models can serve as digital twins for human
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of machine learning and high-performance computing, tackling complex, open-ended challenges to deliver scalable solutions. You will design and optimize a software-defined infrastructure that enables cutting