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the year. For more information, please see: https://mpl.mpg.de/study-work-or-visit/graduate-programs/how-to-apply/phd-positions . Tuition fees per semester in EUR None Combined Master's degree / PhD
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21 Mar 2026 Job Information Organisation/Company CNRS Department Institut de mécanique et d'ingénierie Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher
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, Sport Management, and Economics. We have about 315 employees and 3 800 students at our campuses in Molde and Kristiansund. Read more about us: https://www.himolde.no/ The PhD position is organized under
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/document/d/1C6tjLGrh45_k3EwcixMTrHMa_tB5LmWjjY1-GoE93rk/edit?tab=t.0 REQUIRED: A PhD in neuroscience, physics, applied mathematics, computer science, or a related field; excellent communication and teamwork
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20th April 2026 Languages English English English Interested in how starter cultures enhance food safety and reduce waste in modern food production PhD scholarship within Food Microbiology Apply
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Saint Point, Bourgogne | France | 2 days ago
sciences » Epidemiology Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:59 (Europe/Paris) Country France Type
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. An applicant must possess a PhD degree in physics or related field and demonstrate a strong track record of research in theoretical and/or computational physics. Appointments at the rank of Associate Professor
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Requirements • Master’s degree in Telecommunications Engineering, Electrical Engineering, Physics, or a related field • Must be admitted to a PhD program at Universidad Carlos III de Madrid by the time of
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this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance