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Advanced Carbon Fibre Composites using Next-Generation Additive Manufacturing (CFAM) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Patrick Fairclough
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proposals Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil Engineering, or a closely related field, with specialization in structural
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Faculty of Engineering and Science. One PhD position will be hosted in the Cybersecurity Research Group at the Department of Electronic Systems in Copenhagen, while the other will be hosted in
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Manufacturing MEMS/NEMS, micro- and nano- technology Mechanics of Structures and Metamaterials Energy and Sustainability Biomechanics and Medical Devices Computational Mechanics and AI in Engineering We welcome
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position (see: https://www.ntnu.edu/studies/phd/regulations ). Preferred selection criteria Experience with digital
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Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
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project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 24 days ago
, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Experimental analyses of Ion-Specific effects
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 9 hours ago
relative weight of 90%. 9.1. Academic Qualifications (AQ) Evaluation of the candidate’s training area: PhD in Biological Sciences, Food Sciences, Food Technologies, Food Engineering or Veterinary Sciences
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equivalency formula. Preferred Qualifications PhD in computer science, engineering, a quantitative discipline, or a domain science with strong computational components. Experience with AI/ML, vision, NLP