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battery degradation is governed by complex and coupled physical processes and is strongly affected by operating and environmental conditions. However, the internal health of batteries remains difficult
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of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://p3.snf.ch/project-189065 ii) developing and validation of novel chemical probes and degraders
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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and disease (https://sites.psu.edu/nighot/ ). The lab is especially interested in the role of defective intestinal tight junction (TJ) barrier in inflammatory bowel disease (IBD), including Crohn’s
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focuses on investigating how biomedical implant degradation products modulate host immune responses using advanced cellular and murine models. The overarching goal is to develop novel therapeutic strategies
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conditions, including charging protocols, temperature and mechanical loading, influence battery performance, degradation and lifetime. The work combines physics-based modelling with machine learning
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, memory, tasks, swarm behaviour and source datasets You formulate and test hypotheses that may improve the harness, long-term memory and/or swarming behaviour You present your research at international
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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will develop a design-build-test-learn cycle, combining high throughput experiments and active learning to obtain synthetic cells with the desired properties. You will integrate liquid handling robots
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on the computational modelling of degradation routes of organic molecules in the lithium-air battery. The position will involve collaborating with other groups, presenting to key stakeholders and preparing manuscripts