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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
network led by Prof. Cecilia Persson, Uppsala Universitet. Print4Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues of the Future https://cordis.europa.eu/project
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LLM-based vulnerability detection systems. Robustness evaluation framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of LLMs in software
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Marie Skłodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues
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much clearer picture of how gut bacteria support one another and how these networks can reorganize under changing conditions This project is set within the wider scope of the DFG-funded priority research
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efficiency, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco
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interdisciplinary team spanning materials chemistry, surface science, and applied physics. The position is embedded in the Vienna Doctoral School in Chemistry (DoSChem) , Austria’s largest graduate network in
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: •clean-room fabrication of resonator structures, •ferroelectric and piezoelectric characterization, •resonators testing using Vector Network Analyzer (VNA). Is Your profile described below? Are you our
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant performance
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research environment and part of various research networks. Our research focuses on investigating single cell and population dynamics during innate immune responses. The successful applicant will join an
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communication skills an early career researcher with publication record, presentation skills and commitment to research integrity equipped with excellent software skills and hands-on experience with deep learning