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project, we will measure the human mesoscale cerebellar morphology in postmortem brain tissue to provide a ground truth for the independent in-vivo experiments. This project will give you the chance to work
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. bioengineering, chemistry, biomedical engineering, analytical chemistry. A research-oriented attitude. Competence to work in an interdisciplinary team and interested in collaborating with industrial partners
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, biochemistry, biophysics. Ability to work in an interdisciplinary team and interested in collaborating with industrial partners. Motivated to develop your teaching skills and coach students. Fluent in spoken and
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, targets the conversion of intermittent electricity to platform chemicals and fuels making use of dynamically operated processes. This is a promising route to alleviate net congestion and make more effective
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, including physics-informed neural networks, neural operators, hybrid physics-ML approaches, and emerging foundation-model paradigms for scientific data. Scientific machine learning is increasingly important
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these insights into concrete, evaluated tools for HTA assessors. Your job You will be on the frontline of using and implementing GenAI in the cyclic HTA approach to medicines. Possible work topics include: Mapping
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tasks, analyse behavioural data, apply computational modelling techniques, and write scientific articles that will form the basis of your dissertation. You will work closely with your supervisors, another
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embedded within the Quantitative Healthcare Analysis (qurAI) group and conducted in close collaboration with the CARA Lab and clinical partners in the Netherlands and abroad. You will work with large, multi
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change towards circular consumption. Within this PhD vacancy, you will work in the work package that focuses on systemic transitions towards circular consumption and production through integrating
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. The project will combine experimental and clinical research to advance theory-driven treatment improvements. Your colleagues: You will work within a highly collaborative and interdisciplinary team across