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of innovative digital solutions for sustainable building renovation within the Horizon Europe REMADE pro ject. The successful candidate will contribute to the development of an Integrated Digital
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; and one-sided asynchronous programming models. Experience in heterogeneous computing, developing and debugging massively parallel algorithms and code performance profiling are a plus. Special
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, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration
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systems for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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conduct research within CFD modelling, with a particular focus on the projects MetNH3Energy and ACE Water. You will be involved in both independent and collaborative research activities in Europe in
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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Posting Details Posting Details Job Title Post Doctoral Scholar (College of Pharmacy Academic Fellowship) Requisition Number DU15161 Department Name 7K700:PHARMACY PRACTICE & SCIENCE Work Location
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Italy, Texas | United States | 14 days ago
Pre- or Postdoc Academic Assistant (m/f/d) Young Researchers Florence, Italy Cultural Studies Job Offer from September 24, 2026 We are looking for an excellent and research driven candidate (m/f/d
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale