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Field
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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.” The successful candidate will provide crucial numerical modeling support for the NSF-funded MOTIVE (Mixing belOw Tropical Instability waVEs) project, a large national collaboration of observational scientists
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project funded by the European Defence Agency, we are looking to hire a post-doctoral researcher with a strong background in numerical modelling of materials and structures. Your role will be to improve
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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secondary bile acids have multiple signalling roles in the host and have been implicated in numerous disease states, including inflammatory bowel disease. Inflammatory bowel disease (Crohn’s disease and
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studies on scaffolds and in vivo testing in disease models; maintaining accurate and organized experimental records; presenting findings at national and international conferences; preparing manuscripts
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-doctoral researcher with a strong quantitative background in biology, evolution, or social science, and previous experience in mathematical modeling or behavioral experimentation. Purpose: Complete a multi
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different numerical tools via Python scripting Experience conducting machine learning and inverse design models HPC experience Experience training and supervising students High proficiency in writing skills
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping