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whether suitable relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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Are you interested in developing next-generation modelling tools for sustainable food production? Do you enjoy working at the interface of engineering, environmental sciences, and systems analysis
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isotopic analysis for terrestrial paleoecosystems. Until now, only few studies have undertaken this topic, mostly from the archaeological perspective. Other novel approaches include: searching for seasonal
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with quantitative assay development, data analysis, and experimental troubleshooting Is able to work carefully with infection-relevant models and maintain rigorous documentation Is self-motivated
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 months ago
fluorescence microscopy, image analysis pipelines and modelling. The project particularly requires enthusiasm for translational sciences, fluorescence microscopy, and computational analysis. Your role: Sample
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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. Experience with laboratory experiments (batch incubations, microcosms, or similar). Knowledge of chemical analysis techniques, such as ICP-OES or ICP-MS, ion chromatography, and nutrient analysis. Experience
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
necessary. Previous experience with experiments involving human participants (particularly in decision making and / or teams), and statistical analysis of data is essential. Familiarity with agentic AI
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to collaborative, multidisciplinary research teams Preferred: Postdoctoral or equivalent advanced research experience in leukemia research Expertise in genomic, transcriptomic, and multi-omics data analysis