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We are pleased to advertise this exciting and truly international project with the International Energy Agency (IEA) Bioenergy Task 45 Team . In collaboration with 13 member countries from across
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R Experience with single-cell RNA-sequencing, in particular analysis of data would be an advantage Experience with mouse models and possession of a FELASA B certificate would be an advantage as both
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attachment. Main tasks Collect, compile, and analyze data to map the responses of plants and pollinators to climate change Participate in the development and adaptation of statistical models for analyzing
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3D organoids, primary cell purification, and culture skills are particularly welcome. Requirements: A PhD or MD/PhD
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machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related
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of mixtures. As a long-term goal, this work shall contribute to understanding low dose mixture effects and derive regulatory strategies to address them across multiple regulatory silos. The activities
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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unique ovarian cancer animal model and blood samples from multiple human clinical trials. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, oncology
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, individualized education. Faculty are committed to creating a student-centered learning community that embraces multiple viewpoints. It is a department in which learning, research, and professional activity inform