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. This position will contribute to the next generation of LFP-based batteries, improving their safety, efficiency, and overall performance for sustainable energy storage solutions. Job Description: The successful
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to assess evolving risks in coastal-urban regions. Other key responsibilities include: Mesh design and high-resolution data utilization. Develop and refine high-resolution barotropic ocean meshes along U.S
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multiple crop species. This position provides a unique opportunity to contribute to high-impact research, publish in leading journals, and collaborate with a diverse network of plant breeders, geneticists
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strategic research agenda on sector coupling, net-zero energy systems design & analysis, and integrated Power-to-X systems. The postdoc will lead advanced modelling and techno-economic analyses of large-scale
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
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matching between suppliers, gathering quotes, placing orders, accepting product and distributing or installing in the lab. Supervises and trains new members of the lab on safety, laboratory, and equipment
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
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. Quantifying the spatio-temporal variability in their nutritional contributions—and integrating this knowledge into dietary assessments and future food security scenarios—is crucial for developing resilient