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31st October 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Trustworthy Agentic Artificial Intelligence Apply for this job See
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and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be
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-sensing concrete. Lab test and analysis of self-sensing concrete. Optimize and evaluate the performance for field trials. Publish several papers in top journals. Write proposals for further development
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. Your responsibilities will encompass pioneering novel synthesis doping techniques for "quantum grade" diamond, optimizing surface termination methods, and developing deterministic synthesis of pertinent
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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to support safe workflows, complex treatment planning, and chart review processes. The position also supports the clinical implementation and optimization of advanced technologies, such as SRS/SBRT, proton
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We are looking for a motivated PhD candidate to develop a new generation of responsive polymer surfaces that can communicate through touch. The position is part of a Vici project entitled “Beyond
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call is open for the attribution of 1 (one) research grant for a PhD student, financed by Ciências ULisboa, according to the following conditions: Work plan: Development of the base scenario through
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Tata Institute of Fundamental Research | Karnataka Health Institute, Karnataka | India | about 2 months ago
Position Description TIFR-CAM seeks applications for Reader (equivalent to Assistant Professor) positions in applied mathematics and computing from recent PhD graduates. Ideally the candidate will