16 postdoc-in-system-identification Postdoctoral positions at Aalborg University in Denmark
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topics. However, collaboration between topics and between postdocs and/or other academic employees is required. Limited teaching within the area can be expected, but also in other study programmes
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other academic employees is required. Limited teaching within the area can be expected, but also in other study programmes at the University. Qualification requirements Appointment as Postdoc presupposes
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Do you want to work with plastic bio-upcycling? And do you see yourself as a team player who is strong in collaboration? If yes, we look forward to reading your application to our Postdoc position
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extent. The position is offered in relation to the research group “Power Electronic Control, Reliability, and System Optimization " and the Postdoc will be positioned to the section for “Applied Power
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At the Faculty of Engineering and Science (ENG), Department of Materials and Production at Aalborg University, a position as Postdoc. in Circular Manufacturing is open for appointment from
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data. The position is initially for one year, with the possibility of an extension for up to 2 years based on mutual agreement. Starting date: August 15th, 2025, or soon thereafter. Your work tasks This
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exposure as described by the Thermal Death Time model. The postdoc will investigate how mechanisms of thermal acclimation and repair of thermal injury, can be integrated with thermal tolerance measures under
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Electonics Packaging Materials and Emerging Applications and the Postdoc will be positioned to the section for Power Electronics System Integration and Materials. Research areas will be within Power
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning one or more positions as Postdoc in Problem Based Learning in Engineering Education is open for appointment from
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of the PostDoc project is to performreal-world testing of the shoulder device in healthy individuals and patients with upper limb movement disorders, as well as to develop the machine learning