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invites you to apply for a 3 year researcher position. Expected start date 15 November 2026 or as soon as possible hereafter. Job description The researcher topics will focus on development and advancement
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an externally funded, interdisciplinary research group in insect nutrition and production, engaging national and international collaborators. Lead research on nutrient requirements to optimize
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invites you to apply for a 3 year researcher position. There are 3 positions available. Expected start date 15 November 2026 or as soon as possible hereafter. Job description The researcher topics will
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Technology, and the PhD student will be positioned in the Esbjerg Energy section. The position is part of the internally funded research project SURGE: Speed-optimized USVs for Robust Guidance and Offshore
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postdoctoral researcher to join the ICaRUS project at the section Automation and Control, Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University. The position is full time
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, the van Andel Research Institute, Michigan, USA and the Nordic MDS study group. Our location at the Copenhagen Biocentre/BRIC provides optimal conditions for interaction with the basic scientists at BRIC
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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We are seeking applicants for a 2-year postdoctoral position in Daniel Otzen’s research group at iNANO. Expected start date and duration of employment September 1 2026 or as soon as possible
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We are seeking applicants for a 2-year postdoctoral position in Daniel Otzen’s research group at iNANO. Expected start date and duration of employment September 1 2026 or as soon as possible
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
and robotics. As the successful candidate, you will develop innovative research programs spanning atomistic and mesoscopic materials simulations, machine learning, foundation and surrogate models