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Website https://international.cvut.cz/jobs-at-ctu/pictus-phd-fellowship-programme/ Street Jugoslávských partyzánů 1580/3 Postal Code 16000 E-Mail cammaant@fel.cvut.cz pavel.koudelak@cvut.cz STATUS: EXPIRED
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: https://www.science.hr/jobs/225829/phd-candidate-a-critical-examination… Where to apply Website https://www.science.hr/jobs/225829/phd-candidate-a-critical-examination-of-inte… Requirements Research
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administered through the UCY Graduate School (https://www.ucy.ac.cy/graduateschool/ ), and must satisfy all academic admission requirements set by the respective Department. The PHAETHON PhD Studentship will be
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conduct research in a collaborative environment. Where to apply Website https://www.academictransfer.com/en/jobs/360011/phd-in-femtosecond-optical-appr… Requirements Specific Requirements A master’s degree
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Learning (e. g. combination of Language Models with Knowledge Graphs; development of truthful/citable Language Models) collaboration in national and international research projects, possibly with
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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PhD Position – Development of metal-organic frameworks-glass composites for sustainable applications
de la Cruz 3Geofield Contact State/Province Madrid City Madrid Website https://www.icmm.csic.es/ Street c/Sor Juana Inés de la Cruz 3 Postal Code 28049 E-Mail ofertas_euraxess@icmm.csic.es STATUS
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 2 days ago
your application exclusively through the HBIGS application system: https://www.hbigs.uni-heidelberg.de/en/your-application Additional comments Given the interdisciplinary nature of the project, the PhD
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that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD