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probabilisticmachine learning models for spatio-temporal data whilequantifyinguncertaintiesassociated with climateprojection data and models. Therefore, it is important to have twocomplementary profiles to workclosely
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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competencies The applicant must hold a master’s degree in engineering and a PhD in a relevant field, such as electrical engineering, with expertise in physics-based modeling, machine learning, and optimization
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Efficiency. The postdocs will be positioned in the section for Applied Power Electronic Systems. The research area will be within the modeling and design optimization of power converters based on digital twin
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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. This involves accurate reproduction of the nonlinear waves by the wavemaker by utilization of cyber-physical modelling. Analysis of the generated short-crested nonlinear waves is needed to identify the incident
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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within
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600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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Adolescent Psychiatry will be considered an advantage, as will familiarity with conducting questionnaire-based surveys. In relation to research, applicants should document: Experience, skills and achievements
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc is available within the general study program. The PhD stipend is open for appointment from 1st Feb 2026 or soon after