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. The primary output will be a validated, open-source detection framework demonstrably meeting enterprise performance benchmarks (e.g., latency, accuracy). The research will contribute new knowledge through
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experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How
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, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility This studentship is suitable
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radiotherapy and radium-223. Radiotherapy and Oncology 2024. 191, 110063. Preferred skills/knowledge You will have excellent laboratory skills with a strong background in biochemistry, molecular biology and
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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histone code specifies the binding of heterochromatin protein Rhino to a subset of piRNA source loci. Nature Structural and Molecular Biology. Preferred skills/knowledge You will have excellent laboratory
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/10.1101/2022.11.14.516440 [3] Triage-driven diagnosis for early detection of esophageal cancer using deep learning http://doi.org/10.1101/2020.07.16.20154732 Preferred skills/knowledge We are seeking a
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solutions, focusing on integrity assurance for safety-critical applications. It addresses the growing need for cognitive navigation systems that are able to operate reliably with a diversity of dedicated
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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used in wind turbine blades, structural engineering exposed to offshore environments. However, the rapid growth of the wind turbine industry is expected to generate million tons of blade waste globally