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theoretical knowledge, the ideal candidate should have experience with experimental work within material characterization and on compilation of large datasets and statistical analysis of these. In addition
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experience in fieldwork and data analysis to technically oriented candidates with expertise in AI and interactive systems development. Scientific dissemination is expected to focus on leading Human-Computer
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mainly in wet-lab, discovering binders by phage display selection and characterize them by ELISA, BLI and enzymatic activity assays. You will also perform in silico structural analysis and design of
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focused on biofortification and bioavailability of vitamin D. You will join the Research Group for Bioactives - Analysis and Applications. If you're ready to push the boundaries in increasing the vitamin D
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aspects of the research, from conception, execution, analysis, publishing, and public dissemination. The ideal candidate therefore has a high academic level and a good grasp of research designs and methods
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animals, or developing new in vitro models for performance analysis of energy materials You should be independent, self‑driven, and enthusiastic about working in a multidisciplinary academic environment
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expected with the purpose of performing field studies and data analysis with one of the leading groups in the field. Qualified applicants must have: A BSc in physics followed by a master’s degree in physics
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modelling and rare-event analysis. University of Trento (Italy) to link UQ models with meta-material configurations and nonlinear dynamics. University of Granada (Spain) for coupling reliability analysis with
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. An interest in risk analysis, structural reliability or digital twin technologies is highly desirable. Your ability to think rigorously, work systematically, and integrate modelling with practical engineering
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researchers, using qualitative and quantitative methods, empirical data, interviews, case studies, financial modelling, socio-economic and policy analysis to study renewable energy project development