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to the evaluation of absolute sustainability of biobased systems, from a biorefinery to a whole biobased society. The main tasks are: Development of a large-scale model of the carbon material flows in a biobased
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presentation of the proposed empirical material a work plan for the three years More information can be found here: https://www.cbs.dk/en/research/phd-programmes/admission In addition to the project description
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participation in six international training weeks, and international secondments with academic and non-academic partners. The PhD position will focus on the topic of “Developing locally integrated models
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DTU National Food Institute, at the Technical University of Denmark, is seeking highly motivated applicants for a Strategic Alliance PhD scholarship focused on the designing and modelling of switchable
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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students. In the project you will: Perform longitudinal proteomic and degradomic analyses of wound healing models and clinical samples. Identify proteolytic cleavage sites and post-translational
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advance next-generation biocatalytic processes both microbial and cell-free. PROSYS has a strong focus on combining experimental research and modelling tools to design sustainable and scalable bioprocesses
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, ultimately enabling the development of machine-learning models for the inverse design of improved electrolyte materials. You will have a demonstrated aptitude for computational chemistry or related research
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practices. The PhD projects will combine lightweight agricultural robots, manipulators for managing crop competition, and digital twins for modeling the working environment. If selected, your main focus will