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), numerical methods, and scientific software development. Proficiency in C/C++ and Python, with experience in HPC environments (e.g., MPI /OpenMP; GPU experience a plus). Record of peer-reviewed
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Postdoctoral Research Associate - Gibson (Cell & Molecular Biology) and Skiniotis (Structural Biolog
cleaning, glow discharge) Dedicated GPU workstations and clusters with institutional data infrastructure for high-throughput image processing Embedded staff scientists who provide consultation, hands
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Göttingen, Niedersachsen | Germany | 6 days ago
PhD or equivalent degree in the above-mentioned fields. What we offer State-of-the-art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A
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, scalability, and cost requirements. • HPC Management: Design, develop, and optimize resource management tools and Slurm GPU plugins for supercomputing clusters. • Deployment & Automation: Oversee
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experience with LLM post-training, including Supervised Fine-Tuning (SFT), Low-Rank Adaptation (LoRA), or reinforcement learning (RL) post-training. Experience with multi-GPU training and a strong working
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methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning models on GPU-based systems
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: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling, representational analysis, or
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
quantitative field is required. Additional qualifications The candidate must have strong programming experience in Python and/or R. The candidate must have experience analyzing high-dimensional biological or
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implementing high performance signal processing algorithms on resource constrained hardware Experience using FPGA development tools such as Vivado and LiteX Experience using GPU compute frameworks such as
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Pontificia Universidad Católica de Chile | 2 months ago
. Additionally, the IA-PUC/AIUC hosts two supercomputers and a GPU cluster, available for numerical simulations, large databases, and data analyses. In anticipation of the ANID FONDECYT call for applications