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(DFT) packages and in-house quantum transport codes. Fully converged simulations from established databases will serve as ground-truth benchmarks. In parallel, the same optimisation principles will be
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conducted to investigate the relationships between disc morphology, biomechanics, and the expression of molecular markers such as MMP3, ADAMTS4, collagen types I and II, and aggrecans. In parallel, a second
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agents of prepared systems. - Stage 3: Assistance in interpreting results and preparing reports. These stages can be developed in parallel for several systems to prevent one of them from being limited in
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into immunocompromised rodents to create chimeric human–mouse spinal cord models, allowing the study of human neural integration and response to injury in vivo. Parallel studies will use the in vitro vascularized hVSCO
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(AWS, Azure/GCP) Experience in open source software development. Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques will be valued. Fluency in spoken and written
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of individual Milky Way-like galaxies Programming in Python, C/C++ and/or Fortran, and experience in parallel code development Experience in the development and use of tools for analysis of output of hydrodynamic
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including knowledge of PyTorch, Tensorflow, Pandas, Scikit-learn and/or Numpy. Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques. Fluency in spoken and written
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. Additional Knowledge and Professional Experience Experience with high-performance computing (HPC) environments and parallel programming (e.g., MPI, OpenMP). Experience with the management and analysis of large
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to read Japanese. Experience in parallel scientific programming. Experience with High Throughput calculations. Other research and software engineering experience will be considered Availability to travel