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Open Position: (Postdoctoral) Researcher (m/f/d) Model Building for SPM Images of Macro(bio)molecules Job Code: 03.25 Your project: Build and test a GPU‑accelerated program to detect and interpret
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, more than 11,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus design program in
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 3 months ago
program to detect and interpret SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular
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languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
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, Services and Technology. You must meet the eligibility requirements to work on a European Defense Fund project. You must meet the requirements for admission to the doctoral program in Faculty
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using squeezed states of light. The job As a software engineer, you will have the opportunity to develop software for our continuous-variable quantum key distribution system. You will: interface hardware
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. Software Engineer Responsibilities: As a Software Engineer in the EPS team, your responsibilities will include: • Works as an integral member of the software development team to implement new functionality within
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Application Deadline 31 Mar 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 28 Feb 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP
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. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high