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such as municipalities operate in an increasingly complex and dynamic environment. Globalisation, rapid technological developments, and societal changes require organisations to perform reliably and to
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one reason for projects not passing the exploration stage, and seismic activity related to gas extraction has resulted in a public acceptance risk of all subsurface activities. In this project, we
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work in close collaboration with clinicians, AI researchers, statisticians, and industrial partners in a highly interdisciplinary consortium, translating large-scale cardiovascular data into clinically
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perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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before, during and after training, and evaluate these systems in real-world studies. The details of the work plan may be adjusted depending on the profile of the preferred candidate; there is budget
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for team work and excellent communication skills in spoken and written English. Ability to supervise students or early-stage researchers. Affinity with data processing techniques and programming (Matlab and
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extra vacation days. Through the UU Terms of Employment Options Model, you can tailor your employment package to your needs. In this way, we encourage you to grow in what you do, both in your work and in
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responsibilities include: Leading the three work packages of the project. Conducting longitudinal meta-research on Open Science practices using bibliometric and automated assessment tools. Collecting, managing and
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adaptation, systemic hemodynamic and biochemical regulation. To understand and predict these processes, virtual human twins need to move beyond acute simulations of cardiac function and incorporate long-term