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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies
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about biology and interested in building new machine learning and AI to accelerate biological discoveries? Then this position is for you! Join Us! We are looking for a motivated PhD candidate to develop
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phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the Plant
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with international partners for therapeutic applications of this research. The project offers opportunities to make significant contributions to understanding molecular interactions and their
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machine learning challenges: how to learn from limited and heterogeneous data, how to combine data with physics-based models, how to solve inverse problems under uncertainty, and how to build models
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annually with retention of salary Excellent opportunities for further personal development Compensation towards your health insurance expenses Option to make use of group discounts for multiple insurances
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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activities and build my social circle. Coming from big metropolitan cities like Beijing and London, I had to get used to the smaller size and more tranquil ambience of Nijmegen. However, I quickly learned
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the polymers into their original building blocks, enabling the recovery and reuse of valuable bio-based feedstocks. In this way, the project aims to establish more circular strategies for the use of renewable