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they negotiate changes to their work and business models. Through ethnographic fieldwork you will research what practitioners value within the activity of making creative work, and how that changes
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an ecosystem. Our preliminary data suggests that this may be the case. If this hypothesis will be confirmed, it would mean that several independent baselines should be included in the isotope flux models, even
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with genetic, molecular, biochemical, and mass-spectrometric approaches, as well as translational models and patient-derived samples. The Institute for Research in Biomedicine (www.irb.usi.ch ) is a
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in our vision: excellent healthcare requires evidence-informed models for the education of future and current healthcare professionals. https://www.maastrichtuniversity.nl/research/school-health
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for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges