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metallic nanoparticles (MNPs) developed within the scope of the project. The process includes a preliminary pre-treatment step, in which polymers are depolymerized or oxidized into lower molecular weight
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components, integration into a wearable format, and establishing a consistent build, test, and quality-check process so that multiple units can be manufactured with comparable performance. In parallel
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the Oral Radiology Clinic. Based on patient treatment procedure and staffing needs, this role will also provide backup support to the D2 and D3 clinics for predoctoral students, and the D2/D3 clinic
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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or exceeds these requirements while expeditiously furthering the research objectives of the Department of Dermatology. This position must be able to work independently on multiple research projects in parallel
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
. - COMPETE2030-FEDER-00731800, Operation No. 16163, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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anesthesiology, diagnostic imaging, animal nursing, epidemiology, laboratory animal medicine, surgery, clinical pathology, medicine, and domestic animal reproduction. In addition, the SLU University Animal
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dedicated to improving quality of life across the world. This position will play a crucial role in ensuring the continuous operation and enhancement of our High-Performance Computing infrastructure