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8 Apr 2026 Job Information Organisation/Company Slovak University of Agriculture in Nitra Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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also take part in field surveys to examine the catchment area and observe how particles behave in the stream and pond. In the second stage, the PhD student will examine the particles themselves in
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Application deadline: All year round Research theme: Computational Mechanics/Applied Mathematics How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students
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responsibilities and tasks will include, among others: Development and testing of a quantum time transfer experimental system. Firmware and software for time tagging and time data processing. Author scientific
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these internal conditions vary across space and time. Depending on the student’s interests and skills, the project may involve a combination of: Experimental studies using model plant species to examine root
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 20 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09907 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is a Cifre thesis in
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: Hybridization of QKD and PQC for OpenRAN scenarios Design and development of software and APIs according to ETSI QKD standards. Integration and testing of a quantum and 5G/6G security demonstrator. Collaboration
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of velocity models using controlled test events and quality control of data acquisition Algorithm Development: Integration of multi-sensor data streams into seismological software frameworks (e.g., SeisComP
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Project summary: This PhD will examine the role of educational attainment and educational pathways in mitigating the association between social class background and early labour market outcomes in
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rapid, data-driven, physically informed and human-aligned decision framework capable of robust, equity-aware intervention planning under climate uncertainty. This PhD will develop a decision-support