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experiments, particularly ATLAS and DUNE. Contribute to the architecture and core development of the Phlex framework, emphasizing scalable, multi-threaded, and heterogeneous (CPU/GPU) computing models
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international journals or conferences. Experience in predictive modeling for forecasting or recommendation systems. Strong programming skills in Python and AI frameworks (PyTorch, TensorFlow), including GPU/cloud
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science or engineering field; a completed PhD is an advantage Very good knowledge of software development with C++ and Python, as well as experience in GPU programming (e.g., CUDA or comparable frameworks
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May 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
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between Bonsai RX, animal tracking software, DAQs, and Unity), ROS-like systems, machine vision, GPU programming, shared memory, agent-based modeling, and/or game development. Physical Requirements
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, Cloud Service Deployment). Desired: Experience with High-Performance Computing or GPU programming (CUDA). Specialized knowledge of Neural Rendering (NeRF/3DGS) or Satellite Photogrammetry. Demonstrated
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engage with collaborators across Belgian universities. Profile Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming
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candidate will be to use a combination of CUDA, Python and C++ programming to develop CADD tools which will curate the human proteome, upgrade the group’s MoPBS software, develop new GPU enabled pharmacophore
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model in collaboration with partner institutions such as the German Climate Computing Center (DKRZ) and German Weather Service (DWD), including GPU porting. They will perform production runs of ICON and