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contribute to more accurate absorbed dose-response assessments and inform future strategies for individualized treatment planning. This PhD is part of a broader research initiative, offering a unique
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the long term. 📅 Key dates • Application deadline: January 31, 2026. 📌 Early preparation is strongly encouraged. ✅ Who can apply • PhD holders with a strong and independent research profile
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9 Jan 2026 Job Information Organisation/Company Universidad Politécnica de Madrid Research Field Technology » Telecommunications technology Researcher Profile Leading Researcher (R4) Positions PhD
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Institute, is inviting applications for a postdoctoral fellow position, annually renewable for up to 4 years. The fellowship will be part of an NIH R61/R33-funded project, "Gaze-contingent AI-assisted Low
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-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A PhD student
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designed for nuclear experiments. Multidisciplinary research: Your PhD is inextricably linked with other areas of expertise, either because of the versatile character of your own topic, or indirectly thanks
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) Positions PhD Positions Country Spain Application Deadline 29 Jan 2026 - 00:00 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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9 Jan 2026 Job Information Organisation/Company Universidad Politécnica de Madrid Research Field Technology » Telecommunications technology Researcher Profile Leading Researcher (R4) Positions PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
» Computer engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Admission Requirements: To be enrolled at a PhD. Additional Information Benefits Monthly maintenance allowance: According
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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive