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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
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and/or Python; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing, analysis and interpretation of omics data and a strong interest in
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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. Developing sample preparation and MS/MS analytical protocols, Qualitative and statistical analysis of data. Preparing reports using data science notebooks, MS Word, MS PowerPoint etc. The Researcher will train
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research. The specific focus of the Ph.D. project will be tailored to the candidate’s skills and interests and will align with the objectives of the aforementioned consortia. A key component of the work will
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experience developing cutting-edge computational tools that bridge aeroelasticity, structural analysis and manufacturing constraints for early-stage design. You will get the opportunity to travel
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design of regulatory DNA elements and expression constructs. The researcher will work closely with a PhD candidate recruited to the same scientific activity and with national and international partners in
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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supercritical fluids; • Analysis of the chemical composition of the extracts using various characterisation techniques; • Valorisation of algal biomass extracts for applications in the chemical and
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, particularly focused on isotope ratio analysis. Development of methods for Orbitrap isotopic analysis of steroidal compounds. Analysis of steroidal compounds from synthetic and human sources. Processing and