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Field
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
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the future of health and life sciences. By integrating stem cell biology, patient-derived material, tissue engineering, microfluidics, advanced analytics, and digital technologies, NAM platforms enable
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their application, selecting the procedure to which they intend to apply. The documents inserted in the application are exclusively in digital portable document format (pdf), with the exception of the documents
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CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing Signal processing and data analytics, control systems Machine learning or computer vision Product
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Signal processing and data analytics, control systems Machine learning or computer vision Product development in multidisciplinary engineering teams. Responsibility teams Exposure to globally leading
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qualifications: • A PhD in geology or mineralogy • Demonstrated ability to conduct elemental microanalysis using LA-ICP-MS, including data processing and interpretation • A recent publication record
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aligned with the strategy of the PEPR ICCARE programme, which aims to structure ambitious research in support of the digital transformation of the cultural and creative industries (CCIs). It contributes
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, digital mediation, and changing mobility regimes. Theorizing contemporary world literature as a process of permanent and never fully stable emergence, EMLIT aims to generate innovative and empirically
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emerged as an alternative to conventional ML models, promising a more efficient processing of temporal signals at the edge. This includes a wide range of signals, among which cortical activity for brain
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, UAEs, GANs, diffusion models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency