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contribute to innovative research projects aimed at unraveling cellular interactions and immune mechanisms in liver disease. The following responsibities (not limited) are expected: Develop, optimize, and
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to the development of seaweed biorefinery scenarios and benchmarks. Improving the assessment of marine and terrestrial biodiversity and ecosystem service impacts within Life Cycle Assessment (LCA), including
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detailed analyses of interactions between vehicles and Vulnerable Road Users (KWGs) at roadworks. You develop and apply advanced traffic simulation models that include realistic micro-interactions. In doing
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University and the Royal Commission for AlUla (RCU), which runs until May 2028. The project will develop an online, accessible, long-term database of the inscriptions documented in the AlUla County, in Saudi
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administrations in improving the quality of their policy development. The project, entitled “Data Management and Impact Evaluations to Inform Policymaking on the Labour Market integration of Precarious Groups”, is
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synthetic biology context (check our website at https://csb-bioport.mystrikingly.com/ and www.csb.ugent.be ). You will conduct research on aquaglyceroporin engineering and on the FWO-WEAVE project “Study and
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. developing the full business plan, including the financial plan and the go-to-market strategy. evaluating and expanding the technological know-how and intellectual property, including the transfer/licensing
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further development and optimization of the Twin-Pipe Pumping (TPP) technology, a protected, extrusion-based 3D printing technology developed at Ghent University which allows for an increased printing speed
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assignment will be spent on academic research. This includes further developing your existing research portfolio, as well as potentially taking on new research-related assignments. In the short term, you will
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study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models