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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); Delft
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- Maastricht University (UM); yesterday published
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collective labor agreement (CAO) choice model. As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity
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metastability for dilute spin systems. These are classical models of statistical mechanics with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to
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science across experimental models and imaging modalities. The Delft work is placed in the microscopy innovation node, with biological collaborators at Utrecht University (prof. Lukas Kapitein) and Erasmus
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solutions. Research may cover a wide range of innovative topics: exploration of innovative methodologies and technologies; development of novel methods, new technology implementations, (e.g. ML models) and/or
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perception of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the
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atmosphere; understanding the fundamental mechanism of mechanochemical polymer chain cleavage; developing a strong knowledge base for mechanochemistry of polyolefins; advising, supervising and working closely
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and statistical mechanics. The project is a NWO funded "open competition project" which deals with the study of metastability for dilute spin systems. These are classical models of statistical mechanics
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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
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real-world test flights to validate system performance on an innovative VTOL platform (https://aerogriduav.com/). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab
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science, and related fields, fostering collaboration across disciplines. Within this setting, the legal history team offers an open, collegial atmosphere where sharing work-in-progress, providing