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Responsibilities • Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending
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will be integrated into the research activities of the Centre for Research-based Innovation SFI‑CELECT : Industry‑oriented Research Centre for Effective Engineering and Learning in Complex Systems. You
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the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and uses inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. To learn more
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on methods to integrate prior biological knowledge into RNA AI models and enhanced approaches to explanation and interpretation of such models. You will be based in Martigny, Switzerland and affiliated with
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
Are you passionate about how to train university students for neutron-based investigation at the European Spallation Source (ESS) in Lund? Do you want to research how students learn via digital
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
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Contribute to the safety of next-generation micro nuclear reactors for maritime and land-based applications. At TU Delft, you will develop advanced multi-physics models that support the design and
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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that do not have this background, are strongly motivated to acquire the relevant skills during the early phases of the PhD, supported by training and in close collaboration with experts in single-cell
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representation language. The thesis will particularly investigate approaches based on attributed graphs to model infrastructures, their topological relationships, inspection-derived observations, and the levels