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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 3 hours ago
training. Multi-scale imaging: micro-CT, SEM, FIB-SEM, or synchrotron data handling. HDF5 / Zarr data schemas and GPU-accelerated volumetric processing. Published work in generative models, synthetic
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application of machine-learning pipelines Strong knowledge of software frameworks for implementing GPU-accelerated computations, in particular JAX and PyTorch Knowledge of HPC environments and experience in
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. Experience or training and deploying models on Graphics Processing Unit ( GPU ) hardware. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 17 days ago
, interdisciplinary group. Our offer Computing The department operates Urania, a high-performance cluster with ~6,050 cores; Hypatia, a high-throughput cluster with ~12,000 cores; and two GPU servers
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. Experience with xarray and scalable scientific-data workflows using Dask and NetCDF or Zarr datasets. Experience with GPU or distributed training and familiarity with agricultural or environmental
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Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering
practical experience in deep learning Has hands-on experience developing generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU
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stack, lifecycle-managed nodes, TF2, rosbag workflows, and distributed system diagnostics. Experience with CUDA and deployment on NVIDIA edge-GPU platforms (Jetson Orin, Thor, or Spark). Experience
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Abstractions Lab (LASeR) develops programming languages and formal reasoning tools for networked systems. Networks are the invisible infrastructure that connects the modern world, yet programming and
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Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming Apply now Posting #: 5233 Position Status: Faculty, Part-time temporary Location: San Diego Position Type
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or