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Field
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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, and PhD students conducting research focussed on ocean dynamics, connectivity, hydrodynamic model development and observing system design. The team are based in the School of Biological Earth and
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. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically
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metabolomics in crops tissues such as grains, seeds and fruits. Learn methods to isolate phytochemicals to be used in dietary studies using pre-clinical models and humans. Mentor(s): The mentor
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify
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-scale Virtualization & Modeling Lab (LVML), and take part in ETH-wide seminars, schools, and workshops. Collaboration with Halter AG: This fellowship is made possible through Design++’s Strategic
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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experience in one or more of the following areas: bioprocess modelling, Life Cycle Assessment and sustainability evaluation. We want to give people opportunity for development and this role is one where we
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simulation-based inference for cosmology Neural emulators / surrogate models for accelerated forward modelin Differentiable simulations and probabilistic programming for end-to-end pipelines Robust uncertainty