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with mechanistic differential equation models to understand signalling differences between individual cells. You will develop open-source computational tools (www.github.com/PEtab-dev/petab_sciml) and
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intelligence and machine learning. The candidate will investigate how to formally define, measure and reconcile different, at times conflicting, notions of fairness in AI systems, as well as the theoretical
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. Optimize the configuration of ventilation system components. Define target values for the façade’s U-value for different use cases. Fellowship duration: The grant is expected to start on October 2026
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to formally define, measure and reconcile different, at times conflicting, notions of fairness in AI systems, as well as the theoretical relationships between them. Possible directions for the project include
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the fellow to gain advanced experience in digital signal processing, underwater acoustics, estimation theory, localization based on time-difference-of-arrival (TDOA), and data analysis from distributed
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injury, and repair in experimental models of multiple sclerosis. Designing, implementing, troubleshooting, and optimizing experimental approaches. Developing and executing studies utilizing transgenic
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-scale facilities. Key Responsibilities Characterise insect protein and their hydrolysates for compositional and techno-functional properties under different processing conditions (enzymatic hydrolysis
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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid
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. Endometriosis Oncogenomics and Pathology Research Lab (EDGE Research) at the University of British Columbia is seeking a highly motivated Postdoctoral Fellow to study the process driving malignant transformation