447 algorithm-development-"Multiple"-"Prof"-"Prof"-"University-of-South-Eastern-Norway" positions
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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storytelling skills to produce videos that resonate with diverse audiences across multiple platforms. He/She will need to work closely with different stakeholders across NBS to achieve the intended impact for
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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and phone calls etc. to review post-acute
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software projects, including defining roadmaps, managing implementation of new features, and coordinating multiple developers. Experience working in an academic research environment, particularly quantum
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Postdoc of Computer Science: Geometric models for non-diffeomorphic shape evolution and shape models in plant science, Department of Computer Science, Faculty of Science, University of Copenhagen
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, developing, and implementing AI systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified . JOB SUMMARY The AI Engineer will be responsible for designing, developing, and implementing AI
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of