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manufacturing trials. The successful applicant will have a strong background in engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
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levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial vendor
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of Mechanical, Aerospace and Civil Engineering. Tuition fees will be paid (at home rate) and you will receive a tax-free stipend set at the UKRI rate (£20,780 for 2025/26). We expect the stipend to increase each
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qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology Practical knowledge of mass spectrometry and/or microscopy A willingness to
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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20 Apr 2026 Job Information Organisation/Company Foundation for Research and Technology-Hellas Department Institute of Molecular Biology and Biotechnology Research Field Biological sciences
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At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively