51 evolution-"https:"-"https:"-"https:"-"https:"-"ESPCI-Paris---PSL" positions at Aalborg University in Denmark
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contributions to research on teaching, curriculum development, and educational innovation in engineering or closely related STEM and professional fields. The successful candidate will bring an original and
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approaches to Inuit and Greenlandic notions of life in the deep sea, sustainability, and resources. A central task of the postdoc is to contribute to the development of an “geo-legal anthropology framework
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, where relevant, PhD level, typically within areas related to wireless communication. This includes course teaching, supervision of project and thesis work, and involvement in the continuous development
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for a two-year postdoc, ideally starting August 1st, 2026. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude
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, 2026, or soon hereafter. The position is a full-time position for 1 year. Your work tasks The research will focus on the development of digital twin models for heating networks, real-time simulation, and
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large research application for the European Research Council (ERC). The project proposal, which is still under development, aims to contribute to the sociology of sustainable energy transition in
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evidence-based decision-making. Core expertise across the two positions includes the development and advancement of life-cycle–based environmental impact assessment methods; the integration of absolute
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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digitally, we also focus on responsible technology development, addressing real-life challenges. Our problem-oriented approach and close collaboration with businesses and public organisations form
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year before the position expires, you will be offered an interview to clarify your future career. The PhD research will focus on the development of AI models for analysis of prehospital ECGs, with