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aim to provide insights into the complex interplay between variation, contact, and the dynamics of language change in (minority and face-to-face) human languages in general, and to make a unique
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to use when, and for which amount of energy. Whereas preliminary results are promising, a great many questions and research avenues remain, especially given the complex nature of integrated energy supply
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Rankine Cycle (ORC). The goal is to model this complex process using computational fluid dynamics (CFD), taking into account thermodynamic non-equilibrium. The developed method can then serve as the
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quantitative data analyses, using complex state-of-the-art analytic techniques (in R and/or Mplus). Dissemination of research findings in the form of peer-reviewed scientific articles, conference presentations
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characterization of these nanomedicines is challenging due to their intrinsic complexity and requires the use of multidisciplinary techniques and competencies. This PhD project aims to further exploit the potential
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with biological insights to investigate and integrate complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high