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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot
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with Python-based scientific programming tools. Desired Qualifications: Knowledge of superconducting qubits and device physics. Experience with gate calibration on superconducting QPUs. Knowledge
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of GIS, Geovisualization and Map Design, and GIS Programming Commitment to working in a learning environment that values diversity of thought and is free from discrimination Job Description: The Department
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the team You will join the Thermal NDE Research Team within the Department of Computer and Information Sciences. The group hosts state‑of‑the‑art IR cameras, induction coils and GPU‑accelerated
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Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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the job funded through the EU Research Framework Programme? Other EU programme Reference Number 16890-LISBOA2030-FEDER-00817300 Is the Job related to staff position within a Research Infrastructure? No
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Summary/ Department Summary: Nurse Practitioner or Physician Assistant in Interventional Radiology. *Please note this is a non-procedural role. This position is a flex position which will also cover the GPU