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/IP networks and parallel and serial digital buses. Use of various development tools (e.g., Visual Studio Code, LabView, Matlab). Integration with operating systems such as Linux-Debian, Ubuntu, Arduino
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opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising
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parallel interests in dairy cattle reproduction. Potential focus areas include but are not limited to reproductive health, ovarian function, estrus synchronization, and other reproductive technologies
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refined to measure thermal conductivity in ultrathin layers with unprecedented sensitivity. In parallel, the project will investigate light–matter interactions in these systems, aiming to uncover
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
. The use case is a electrical substation implementing a process bus architecture conformal with IEC 61850 specifications. This includes redundant PRP (Parallel Reduncdancy Protocol) network architectures
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answer such questions, you will conduct archival research in several relevant cities while also comparing your findings to contemporary governance practices. To investigate parallels between past and
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technology. Your main focus will be the improvement and development of solid electrolytes to achieve better (electro)chemical stability with silicon anodes. In parallel, you will investigate strategies
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
their structural, release and stability properties. In parallel, strategies for embedding the microparticulate systems into inert hydrogel matrices will be developed, enabling their localization and retention
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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statistical programs using STATA, SAS, and/or R and parallel computing • Learn about and implement novel/unfamiliar statistical methods, depending on the candidate’s skills and project needs • Perform