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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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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a
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of operation for symmetric-key cryptography, including, but not limited to, message authentication codes, pseudorandom functions, encryption schemes, deck functions, hash functions, and hash-based signatures
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promotion and athletic performance, essential for maintaining functional capacity and driving physical development. However, prescribing RT is complex due to large inter- and intra-individual variability in
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plasticity. In this PhD project, you will study whether daily smell training can improve olfactory and cognitive functioning, and whether these effects can be strengthened by adding multisensory immersive
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part of the project Ability to create and contribute to a well-functioning, inclusive, and productive research environment Ability to cooperate and communicate well with other staff members Strong
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; participate as an early responder during any emergency situations in the MSP facility; perform other duties as assigned by CCIC MSP director or associate director/staff leaders. This is a remarkable and unique
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You
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. Perform atmospheric retrieval analyses to infer chemical compositions and temperatures from exoplanet spectra. Determine the frequency of water worlds and compare results to predictions of planet formation
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on automation, robotics, mechatronic design, sensor integration, and intelligent experimental systems required for scalable operation of the platform. Duties of the position Complete the doctoral education