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Expected Start Date: July – Sep 2025 Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with
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in supervising students at both master's and PhD levels. This project is funded by a prestigious FRIPRO Grant for Early Career Scientists and is built on our ongoing Integreat project “Embedded
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innovation sectors. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students
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Stig Brøndbo 10th June 2025 Languages English English English Faculty of Science and Technology PhD Fellow in sea ice remote sensing research Apply for this job See advertisement The position A
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innovative, plant-focused resistance strategies. This project will focus on studying radiata pine and P. pluvialis, with emphasis on applying RNA silencing for pathogen control and optimising high-throughput
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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career-promoting work Required selection criteria Doctoral degree (PhD or equivalent) in Political Science, Sociology, or Media and Communication Research (or other relevant fields) You must have completed
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
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with strong expertise and interest in developing porous materials for fertilizer formulation. The position involves the design, synthesis, and characterization of porous materials to control the release
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contribute to grant proposals and progress reports. Collaborate with interdisciplinary teams within CQT and with external academic and industry partners. Requirements PhD in Physics, Engineering, Computer