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Applied Thermodynamics, Transport Processes and Mathematical Modelling. The center has recently entered dynamically into Biorefinery Conversions research field. The focus of Biorefinery Conversions research
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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, modularisation and platform design. Experience with Digital Advanced Product Modelling using CAD design, simulations, and mathematics. A strong motivation for collaborative projects within academia and industry
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons, of which a large