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Framework Programme? Horizon Europe - MSCA Reference Number HORIZON-MSCA-2023-COFUND-01-01 Marie Curie Grant Agreement Number 101179088 Is the Job related to staff position within a Research Infrastructure
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(HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters. Software Engineering: Knowledge of version control (Git), containerization (Docker
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software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities demonstrated through
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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) in Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink
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++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as