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project focuses on developing data-efficient methods for fine-tuning and distillation under strict (customer fab) data and privacy constraints while providing performance guarantees for specific downsteam
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Modelling for Dementia Support Technologies Our goal: This PhD project is part of the European project DEM-CAPS (www.demcaps.org ) aimed at developing and validating a health-economic modelling framework
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actively contribute to meetings and gatherings of the Social Context of Aging group at the VU (https://vu.nl/nl/over-de-vu/meer-over/the-social-context-of-aging-soca ) ,the LASA research team in
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measurements. A key element of the project is the development of an interactive supply chain simulation game that serves as an experimental research platform (https://msgames.in/ ). In addition, you will design
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project where we will develop a next-generation diffusion MRI acquisition to map the organization and properties of fibers in the human brain cortex, both post-mortem and in-vivo. You will: Evaluate
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning
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; investigating the accuracy of estimation the variance component and the robustness of factor analytical models; contributing to the development of variance component estimation software; translating
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, as well as the integration of language as a modality for evaluation, reasoning, and interpretability. One goal of the project is to develop public datasets and benchmarks specifically designed
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. Translating methodological developments into practical insights for breeding organizations and stakeholders. Your other duties and responsibilities include: Communicating and disseminating results through
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to creating a comprehensive, science-based toolkit that supports the development of noise assessment methodologies aligned with the European Union Aviation Safety Agency (EASA)’s mandate and contributes