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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming
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designed to achieve the following training objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialized knowledge in designing experiments for demonstrating space
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Job related to staff position within a Research Infrastructure? Yes Offer Description Objective The main goal is to synthesize metal-free composite anode materials for sodium-ion batteries by depositing