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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of
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-efficiency requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market
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of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations
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of relevant qualifications and at least four years’ experience in plant phenomics. Demonstrated expertise in designing, managing and analysing 3D plant‑based point models and spatial datasets within research
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micelles (PCMs) for nucleic acid delivery. Responsibilities PCM assembly and characterization (in collaboration with partners) Kinetics measurements (fluorescence, SAXS) Data analysis, modeling, and design
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, non-participant observations, ethnography, Delphi) Overseeing and checking transcription of interviews Administration Patient and public involvement Co-ordinate advisory group meetings and oversee
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datasets is essential. Well-developed skills in machine learning approaches, clustering techniques and longitudinal modelling will also be highly regarded. We warmly invite applications for this exciting
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. Understanding of ocular safety, with emphasis on the effects of radiant energy, relevant to environments with UVC radiation sources. Proficiency in scientific and modelling software, such as Zemax, Mathematica
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conduct cutting-edge research on AI-based forecasting and analytics for shipbroking and maritime decision support. The aim is to develop and analyze advanced models that integrate heterogeneous maritime
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computer vision models Preferred Qualifications Candidates with expertise in computer vision, AI/machine learning, and data science are encouraged to apply. Salary Range $70,000 Working Conditions Most work