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Field
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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optimization, and crystallisation, we are a multi-disciplinary group with expertise in chemical engineering, organic synthesis, porous materials, and automated and digital approaches. Alongside Prof Slater, you
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-transport-layer engineering, dark-current suppression, metasurface integration, optical-field manipulation, and low-noise detector characterization. The successful candidate will translate optimized CQD
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, shape, and optimize granular composite (catalytic) materials that combine electrical conductivity, mechanical robustness, and fluidizability for EBFBR. Composite formulation and processing routes (e.g
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breakthroughs in NV sensor synthesis and host diamond heterointegration. The successful candidate will operate at the interface of these programs, playing a central role in developing and optimizing next
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
team of chemists, engineers, and materials scientists to identify sorbent properties, optimize formulations, and test operating conditions for separations. The candidate will also model system
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, conduct experimental campaigns, perform materials synthesis and analysis, sub-component fabrication, process optimization and integration, and prepare technical documents and research publications. Present
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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be responsible for conducting and optimizing chemical synthesis activities targeting specific proteins. Mandatory requirements - PhD in a field related to organic chemistry or biological chemistry
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with