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Field
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engineered animal models and state-of-the-art technologies, we investigate the mechanisms by which inflammasome hyperactivation drives autoinflammatory diseases and inflammatory bowel disease. We also study
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– Dr Thandie Moyo. September 1 – October 30, 2026. 18 – 22 hours/ week. Qualifications: MS or Ph.D in Mineral/Metallurgical Engineering, Chemical Engineering, or a related field. Prior experience working
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international community. Our success depends on a diverse team of analysts, researchers, and engineers who are passionate about understanding emerging technologies and applying best practices to support U.S
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive
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determines physical performance with a focus on exercise physiology, biomechanics and technology. The department is responsible for teaching and conducting research within areas of how physical performance is
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
cellular observations. Where appropriate, modern structure prediction tools may support the construction of realistic simulation models. The project is ideally suited for candidates interested in molecular
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Start Date: September 2026 Duration: 4 years (Structured PhD) Project Overview Applications are invited for a fully funded PhD studentship in Medical Biostatistics, Causal Inference and Statistical
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sleep technology that assesses the brain activity at home and explore why some people benefit more than others using cutting edge mathematical modelling. These studentships are funded through GW4 BioMed3
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with no cure, and we urgently need new ways to understand and treat it. This exciting PhD project combines cutting-edge stem cell technology, 3D bioprinting, brain cell models, and advanced genomic
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Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer