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Field
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descriptions, embeddings, metadata). Train and evaluate models for representation learning and prediction (e.g., PyTorch, Transformers, CNN backbones, contrastive/embedding objectives). Perform rigorous
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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons
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long timescales, water quantity (yield) reflects the balance between precipitation and evapotranspiration, the latter being strongly controlled by the amount, type, and growth of above-ground biomass
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the University of Oslo. Place of work is the Department of Mathematics at Blindern, Oslo. Ocean waves follow complex patterns influenced by wind, currents, and the shape of the seafloor. Predicting
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limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading
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to imposing institutional accountability for predictably inferior health outcomes for New Jersey’s vulnerable populations? How do public health deficits intersect with other institutions, such as housing policy
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” (project period 01.04.2026–01.10.2029) and led by Dr. Andrius Popovas. The long-standing solar convective conundrum is the mismatch between convective flows inferred from helioseismology and flows predicted
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controlling binder placement inside a granular packing: coating grains before compaction requires extensive mixing, while saturating then desaturating is binder-intensive and hard to control. Binding foams
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 15 days ago
regulatory science, providing industry with predictable, consistent, transparent, and efficient regulatory pathways, and assuring consumer confidence in devices marketed in the U.S. Research Project: CDRH’s
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as