57 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" positions at Aalborg University in Denmark
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around the world. We offer advanced laboratory and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU
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the development of an innovative cluster of engineering-based environments for education and research which integrate creativity, engineering and technology within the disciplines of architecture, urban design
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and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your
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the efforts in the CEBE project towards the development and implementation of low-carbon robust construction materials. Specifically, the PhD candidate will contribute to establishment of a reliability
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the Department of Sustainability and Planning (PLAN) within the Development and Planning PhD program. The stipend is open for appointment from 1 February 2026 or soon hereafter. The duration of the position is
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specifically the expected activities will cover development of benchmark electromagnetic transient model for inverter-based dominated power system that can capture various types of power oscillations
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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 job will consist of both synthesis and system development together with software development for automation of both. It is expected that the outcome will be pilot size, you will therefore need
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to the development of external collaboration and to secure external funding will be taken into account. For the full professor position, documented experience in acquiring external funding is required. A strategy for
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory