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leading to cell death upon pathogen recognition. A recent evolutionary model proposes that NLRs have evolved from single units (singleton NLRs) able to both detect and respond to the presence of pathogen
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several forms, including areal data, geostatistical measurements of continuous fields, and point pattern data. In point pattern data, the primary information consists of the locations of events observed
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, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a multidisciplinary network of leading research groups and industrial
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of seaweed production in general, and design of floating seaweed production facilities in particular. The main cost of a seaweed farm is the longlines, which there may be hundreds of kilometers of. The seaweed
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enhancing low-quality facial images. However, there is little scientific evidence on whether these tools improve human accuracy, how they affect machine recognition, and whether they introduce demographic
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. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a candidate, you will establish a hybrid numerical and data-driven bioinspired design
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computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms
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and qualitative research studies General industrial work experience Experience from design/new product development/value chain/manufacturing as practitioner. International work experience Scandinavian
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proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages) Possibly publications etc. other
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through decades of Norwegian petroleum research provides an exceptional foundation for innovation. By building advances in drilling systems, bit design, drilling fluids, and downhole thermodynamics