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The Arctic University of Norway). This position is in Oslo. Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
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processes, too rigid for resource-constrained operational systems, and opaque to the decision-makers who must act based on them. We treat this as a methodological problem rather than a technical one. The
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. Installation and operation of quantum photonic characterization setups and overseeing the progress of the project. Job Requirements: PhD in relevant area (electrical engineering, materials science, and physics
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funded for 2 years in the first instance. About you You will hold a doctorate (or equivalent) in a relevant process engineering field e.g Biochemical Engineering, Chemical Engineering, or a related
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to present the research at both internal and external meetings. The supervisory team reflects the strong industry/academia collaboration as it contains supervisors from the Faculty of Engineering (Derek Irvine
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publications, contribute to research reports and IP disclosures, and present findings at international conferences. Collaborate with internal and external partners on joint research projects and technology
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Engineering, Civil and Architectural Engineering, or a closely related field. Strong expertise in process systems engineering, energy systems integration, and thermal sciences. Knowledge of Power-to-X
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with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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Title: Research Fellow in Power Systems Engineering Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term