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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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-equivalent degree in physics, nanoscience, or engineering. No restrictions of citizenship apply to the PhD fellowship. A PhD degree from local University (UPV/EHU) will be granted after successful completion
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candidates with a good Honours degree in Electrical Engineering (or equivalent) and a PhD in RF coil Engineering (or equivalent). A proven track record of high-quality scientific publications and demonstrated
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degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
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, the successful candidate is expected to work with MSc students doing their final assignment on sub-projects pertaining to the current research project. The PhD research will be performed in the Production
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
26 Jan 2026 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Chemical engineering Researcher Profile First Stage
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application to: Prof Serkan Turkmen serkan.turkmen@taltech.ee Where to apply Website https://academicpositions.com/ad/tallinn-university-of-technology/2026/phd-posi… Requirements Research FieldComputer
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’, in which 6 PhD students will be employed at the Eindhoven University of Technology in the department of Mechanical Engineering, as well as the departments of Electrical Engineering and Mathematics and
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professor plus an international tutor of the RTG Description of the PhD topic: Accurate real-time position and intent estimation and prediction of Innovative Air Mobility (IAM) operations using electrical
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures