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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
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involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter assays and RNA sequencing in iNeurons. Using advanced techniques
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first focus on hedging decisions with respect to the uncertainty on the battery model itself. To this end, you will explore concepts such as distributionally robust chance constrained optimization. Second
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those in a data- and compute-efficient manner to various problem settings. However, the perceptual possibilities are critically hindered by the language-focussed optimization of current foundation models
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are critically hindered by the language-focussed optimization of current foundation models, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios
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distributionally robust chance constrained optimization. Second, you will explore how data-driven models capturing the state-of-health and degradation can be integrated in the battery model. You will develop