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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position
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Postdoc position in Quantum Software and Quantum Communication At the Technical Faculty of IT and Design, Department of Computer Science, a fully-funded postdoc position is available within the area
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computational science, collaborating with leading European research groups and benefiting from advanced GPU and HPC infrastructure. Where to apply Website https://www.academictransfer.com/en/jobs/359110/postdoc-2
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
Job Code: Postdoc/Zhu/03-2026 Job Offer from March 30, 2026 The Max Planck Institute for Solar System Research (MPS) in Göttingen is one of the world's leading research institutions in the field
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-Firstname-Postdoc-FGT-Application.pdf) and a motivation statement via the application portal containing: Curriculum vitae with publication list (open-access links) Degree Transcripts (Bachelor's, Master's
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for unseen regimes, including rare events. The postdoc will be expected to lead independent research directions while collaborating with a team comprising domain scientists, experts in climate physics and
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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++ Knowledge of GPU programming. Experience in application performance profiling. Desired qualifications: Experience from working on quantum computing Experience in FPGA development. Contract terms This postdoc
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degree in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU
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finite-element models, e.g. Poisson, linear elasticity, large-deformation soft tissue, for real-time execution on AR devices and GPUs Implement these models within open-source frameworks such as SOFA