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, to industrial catalysis and green energy production. This PhD project offers a rare opportunity to explore hydrogen surface collisions at a fundamental, molecular level to gain unprecedented insight into the role
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molecular switches that could be targeted by anti-fibrotic drugs. You will master • genome editing, • human iPSC culture and directed differentiation, • live cell biomechanical imaging, and • multiomics
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have or expect to obtain a first or upper second-class degree in a relevant subject from a UK university, or equivalent standard abroad. Prior research experience, for instance in molecular biology
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will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential
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Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology
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communication skills with the ability to work collaboratively. Ideally, the candidate will have a strong background in molecular biology and/or biochemistry. A good knowledge of genomics and the chemistry
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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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of these factors. The work will involve genomic, proteomic and molecular approaches to decipher how these proteins contribute to NEPC and to explore if they can be therapeutically blocked. We aim to understand how
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the optimization-based methods (doi.org/10.1016/j.apenergy.2020.116152 ), 3- Weakness of the model-predictive-control (MPC) against HESS’s parameters uncertainties, noises, and disturbances (doi.org/10.2514/6.2022
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student