25 phd-position-in-database-modeling Postdoctoral positions at Aalborg University in Denmark
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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in HYTEC or TEPE with experience in CFD modelling, is open for appointment from 1. December 2025 or soon hereafter
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postdoc position must have a PhD degree and good publications in relevant areas. Regarding the host institution: Aalborg University was founded in 1974 and has a strong international profile in Mathematics
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At The Department of Sociology and Social Work, the Faculty of Social Sciences and Humanities, a position as postdoc in criminology is available from December 1st or as soon as possible thereafter
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to the position, and intentions and visions for the position are stated. A current curriculum vitae (e.g. using the EU model). Clearly stating your educational background, experience, techniques, language skills
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qualifications at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions
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. The topic of this Postdoc position is the development of data-driven methods to estimate river streamflowusingsatellitealtimetry. Particularly, the Postdoc willexplore hybrid deep learning models
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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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for applying, qualifications in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with
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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