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experimental data, our ability to develop predictive models for the properties and long-term performance of reactor materials is also limited. This position is part of the MAGIC-RR project (Materials Ageing and
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-statisticians challenge and workshop; Studying model-averaging, effect size estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in
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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition
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on “Personalised healthy diets through data sciences and artificial intelligence”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine
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We are looking for a postdoctoral researcher with experience in generative AI, multimodal representation learning, and modelling face-to-face dialogues for our NWO-funded project “Grounded Gesture
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focused on modeling multidirectional loading in anchors for floating offshore wind turbines. The role is part of the European project TAILWIND (tailwind-project.eu) and aims to integrate experimental data
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single-cell and spatial transcriptomics, whole-genome sequencing, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house
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innovation facility represents a new form of collaboration between universities and industry in the healthcare domain. Fortunately, there are many models for such facilities that exist in many places and which
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strategised against waves of epidemics and pandemics between the 1790s and the 1940s. Their European, American and native co-founders invented new models for fighting pandemics from below and stopping
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive