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Join the School of Engineering Mathematics and Technology at the University of Bristol as a Postdoctoral Research Associate in genome-scale metabolic modelling for red blood cell engineering. This
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methods including single-cell omics, iPSC-derived neural models and computational modelling. What We Offer A 4-year, fully funded PhD position (FPI grant) An on-site position at IDIBELL/UB, working within a
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, adapting and troubleshooting multiple materially distinct biomaterial platforms for biological research, including their application to patient-derived cancer-cell models. An established research track
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 21 hours ago
; 2020 , 130:3253 Blood: 2022 , 140:2076 Genes & Development: 30:1956; 31:1641 Cell Death & Differentiation: 21:1792; 22:1824 More information: https://www.cinj.org/WenweiHuLab Qualifications: Applicants
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for Studying Congenital Kidney Diseases". The role will focus on human pluripotent stem cell culture, kidney organoid differentiation, genome engineering, disease modelling, molecular and imaging analyses, as
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/Biomaterials or related fields; Specific Requirements The candidate must have good knowledge of: cell cultures and in vitro models; assessment of cytotoxicity and cell viability; assessment of oxidative stress
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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Paris, September 2026 Position: A post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr
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biology and/or developmental biology, and to participate in our graduate and medical school teaching missions. Investigators in the Department of Cell Biology are using diverse model systems and advanced
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the energy impact of Artificial Intelligence by developing methodologies for monitoring, modeling, and optimizing energy consumption and computational resource allocation, with the goal of enabling efficient