1,049 communication-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions
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Field
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: Safeguarding Users’ Cognitive Autonomy in Human-AI Interaction Cognitive autonomy, our fundamental ability to think independently, is under threat from growing reliance on artificial intelligence (AI) technology
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opportunities for technology transfer and innovation Competitive salary and excellent working conditions - more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en
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Description The Division of Engineering at New York University Abu Dhabi seeks to recruit a motivated Post-Doctoral Associate to conduct research in structural mechanics under the supervision
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on them. Our work spans the natural and social sciences. We connect field experience, geospatial technology, and community-engaged research to the challenges facing eastern North Carolina and the wider
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fusion science & technology, in the Tritium Science and Technology (TST) research group at the University of Manchester. The TST group conducts research focused on tritium behaviour in materials, tritium
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aspects of these new architectures. Additionally, the role involves interfacing with high-speed sensors and building practical technology demonstrations. This position is embedded within a long-standing
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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: https://cogtlab.stanford.edu/(link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning